СПОСОБ АДАПТИВНОГО КВАНТОВАНИЯ ДЛЯ КОДИРОВАНИЯ ИЗОБРАЖЕНИЯ РАДУЖНОЙ ОБОЛОЧКИ

Изобретение относится к области распознавания пользователя по радужной оболочке. Технический результат заключается в повышении точности и надежности распознавания по радужной оболочке. В способе, в пользовательском устройстве и в машиночитаемом носителе получают изображение лица с изображением глаза пользователя; сегментируют изображение радужной оболочки; осуществляют нормализацию изображения радужной оболочки и создают базовую маску. Получают набор комплексных чисел для нормализованного изображения радужной оболочки, каждое из которого представляет интенсивность серого для соответствующего элемента нормализованного изображения радужной оболочки. Получают код радужной оболочки на основе нормализованного изображения радужной оболочки, представленный набором комплексных значений, и преобразуют базовую маску в битовую форму. Модифицируют базовую маску в битовой форме посредством отдельной обработки действительных и мнимых значений множества комплексных чисел; применяют модифицированную базовую ...

СПОСОБ, УСТРОЙСТВО И КОМПЬЮТЕРНЫЙ ПРОГРАММНЫЙ ПРОДУКТ ДЛЯ КОМПЕНСАЦИИ ДЕФЕКТОВ ЦВЕТА ГЛАЗ

... 1. Способ, включающий:вычисление первого разностного изображения на основе разности между яркостью красных пикселей и яркостью зеленых пикселей из набора пикселей, при этом указанный набор пикселей ассоциирован с первой областью глаза на изображении;обработку первого разностного изображения для вычисления по меньшей мере одного градиента и по меньшей мере одной проекции, ассоциированной с указанным по меньшей мере одним градиентом;определение по меньшей мере одной центральной точки на основе указанной по меньшей мере одной проекции ивычисление первой области дефекта цвета глаз на основе указанной по меньшей мере одной центральной точки и множества красных пикселей из указанного набора пикселей.2. Способ по п.1, в котором указанное изображение представляет собой изображение низкого разрешения (LR).3. Способ по п.1, в котором указанная по меньшей мере одна проекция включает по меньшей мере одну горизонтальную проекцию и по меньшей мере одну вертикальную проекцию, ассоциированную с указанным ...

СПОСОБ АУТЕНТИФИКАЦИИ ПОЛЬЗОВАТЕЛЯ ПО РАДУЖНОЙ ОБОЛОЧКЕ ГЛАЗ И СООТВЕТСТВУЮЩЕЕ УСТРОЙСТВО

Изобретение относится к области биометрической идентификации пользователя. Технический результат заключается в повышении точности распознавания. Такой результат достигается за счет того, что вычисляют показатель подобия на основе сгенерированных битовых представлений радужной оболочки левого и правого глаз, опорных битовых представлений радужной оболочки левого и правого глаз, вычисленных дополнительных признаков радужной оболочки левого и правого глаз и опорных дополнительных признаков радужной оболочки левого и правого глаз, определяют на основе вычисленного показателя подобия, соответствуют ли выявленные изображение левого глаза и изображение правого глаза изображениям левого и правого глаз, заранее зарегистрированные данные радужных оболочек которых получены из базы данных, и аутентифицируют пользователя, если соответствие определено. 2 н. и 24 з.п. ф-лы, 4 ил.

ОТСЛЕЖИВАНИЕ ВЗЛЯДА ЧЕРЕЗ ОЧКОВУЮ ОПТИКУ

ОБНАРУЖЕНИЕ ОБЪЕКТА ДЛЯ ТРАНСПОРТНЫХ СРЕДСТВ

КАЧЕСТВО ИЗОБРАЖЕНИЯ И ПРИЗНАКА, УЛУЧШЕНИЕ ИЗОБРАЖЕНИЯ И ВЫДЕЛЕНИЕ ПРИЗНАКОВ ДЛЯ РАСПОЗНАВАНИЯ ПО СОСУДАМ ГЛАЗА И ЛИЦАМ, И ОБЪЕДИНЕНИЕ ИНФОРМАЦИИ О СОСУДАХ ГЛАЗА С ИНФОРМАЦИЕЙ О ЛИЦАХ И/ИЛИ ЧАСТЯХ ЛИЦ ДЛЯ БИОМЕТРИЧЕСКИХ СИСТЕМ

Sichtlinienmessvorrichtung

Eine Sichtlinienmessvorrichtung beinhaltet eine Abbildungseinheit (110) und eine Sichtlinienmesseinheit (140). Die Abbildungseinheit beinhaltet einen variablen Belichtungspegel und ist konfiguriert, um ein Bild eines Subjekts aufzunehmen. Die Sichtlinienmesseinheit misst eine Sichtlinienrichtung des Subjekts basierend auf dem Bild, das durch die Abbildungseinheit aufgenommen wird. Die Abbildungseinheit ist konfiguriert, um kontinuierlich zwischen einer Aufnahme eines ersten Bilds (1101), das ein gesamtes Gesicht des Subjekts zeigt, mit einem ersten Belichtungspegel und einer Aufnahme eines zweiten Bilds (1102), das eine Bereich um die Augen des Subjekts herum zeigt, mit einem zweiten Belichtungspegel, der höher als der erste Belichtungspegel festgelegt ist, abzuwechseln. Die Sichtlinienmesseinheit ist konfiguriert, um eine Positionsabweichung, die mit einer Bewegung des Subjekts verknüpft ist, zwischen einem beliebigen Bild und einem nächsten Bild von dem ersten Bild und dem zweiten Bild ...

Kamerasucher

Ein Kamerasucher umfasst eine elektronische Anzeigevorrichtung, welche zur Wiedergabe von Bildern, welche von einem Bildsensor einer elektronischen Kamera erfasst werden, ausgelegt ist. Der Kamerasucher umfasst ferner wenigstens zwei Spiegel zum Reflektieren der von der Anzeigevorrichtung wiedergegebenen Bilder, von denen zumindest ein Spiegel ein Freiformflächenspiegel ist, dessen reflektierende Oberfläche als eine Freiformfläche ausgebildet ist, die keine kontinuierliche Translations- oder Rotationssymmetrie aufweist. Wenigstens einer der Freiformflächenspiegel ist verstellbar, um eine Fehlsichtigkeit eines Benutzers zumindest teilweise zu kompensieren.

HERSTELLEN VON VERBINDUNGEN ÜBER HEAD-UP-DISPLAYS MITHILFE VON AUGENKONTAKTEN

Gemäß einer Ausführungsform der vorliegenden Erfindung ermittelt ein System zur Einheiteninteraktion über ein Head-up-Display einen Sichtbereich einer ersten Einheit, die ein erstes Head-up-Display nutzt, und stellt eine Interaktion zwischen mindestens einer ersten Einheit und dem ersten Head-up-Display als Reaktion darauf her, dass mindestens ein Einfluss des ermittelten Sichtbereichs auf mindestens eine zweite Einheit erkannt wurde. Ausführungsformen der vorliegenden Erfindung enthalten ferner ein Verfahren und ein Computerprogrammprodukt, um im Wesentlichen in derselben Weise wie oben beschrieben mit einer Einheit über ein Head-up-Display zu interagieren.

System zur Extraktion, Identifizierung und Überprüfung von Irismerkmalen auf der Basis von Directionlets

Image processing method and apparatus

Improvements in or relating to image processing

Image processing to remove red-eye features

A method of processing a digital image to detect and remove red-eye features includes identifying highlight regions (2) of the image having pixels with higher saturation and/or lightness values than pixels in the regions therearound, associating red-eye features (3) with at least some of the highlight regions, and performing red-eye reduction on at least some of said red-eye features. Further selection criteria may be applied to red-eye features before red-eye reduction is carried out. The invention identifies the highlight regions which may be associated with red-eye and then analyses regions surrounding the identified regions to determine whether they are associated with a red-eye feature. Highlight regions preferably have a sharp change in pixel saturation and/or lightness between the highlight region and adjacent regions.

Modular biometrics collection system architecture

A modular biometrics collection system with an architecture having application to a combined features recognition system. The system may be a self-organizing mesh of collaborative independent components. Each component may have inputs, outputs and local prioritization management. Each component may operate autonomously. Federated behavior of the components may be achieved by subscribing to content that influences local prioritization. An example of the system may have application to combined face and iris recognition.

Improvements in and relating to imaging of the eye

Improvements in and relating to imaging of the eye

A method of determining a measurement of at least one cell type in an eye, comprising: obtaining a map of the cell type in the eye which may be in 2D or 3D and may be a cell type density or distribution map, obtaining a representation of the retina of the eye and matching the eye cell type map to the representation of the retina of the eye. A region of interest is then defined on the representation of the retina of the eye and its size calculated. The matched eye cell type map and the size of the region of interest are then used to determine a measure of the cell type in the region of interest of the retina of the eye.

A system for iris detection, tracking and recognition at a distance

Method and system for eyewear fitting

REAL TIME PROCEDURE FOR the DETERMINATION of the AUGENSCHLIEßZUSTANDS ASSISTANCE OF OFF-LINES ADABOOST OVER GENETICS PROGRAMMING

PROCEDURE AND SYSTEM FOR FILTERING A RED EYE PHENOMENON FROM A DIGITAL PICTURE

PROCEDURE FOR IDENTIFYING A PERSON BY ITS IRIS

Efficient data layouts for convolutional neural networks

Systems and methods for efficient implementation of a convolutional layer of a convolutional neural network are disclosed. In one aspect, weight values of kernels in a kernel stack of a convolutional layer can be reordered into a tile layout with tiles of runnels. Pixel values of input activation maps of the convolutional layer can be reordered into an interleaved layout comprising a plurality of clusters of input activation map pixels. The output activation maps can be determined using the clusters of the input activation map pixels and kernels tile by tile.

Optical apparatus and associated devices for biometric identification and health status determination

The present disclosure provides techniques and apparatus for capturing an image of a person's retina fundus, identifying the person, accessing various electronic records (including health records) or accounts or devices associated with the person, determining the person's predisposition to certain diseases, and/or diagnosing health issues of the person. Some embodiments provide imaging apparatus having one or more imaging devices for capturing one or more images of a person' s eye(s). Imaging apparatus described herein may include electronics for analyzing and/or exchanging captured image and/or health data with other devices. In accordance with various embodiments, imaging apparatus described herein may be alternatively or additionally configured for biometric identification and/or health status determination techniques, as described herein.

Iris image acquisition method, mobile terminal and storage medium

An iris image acquisition method and a related product are disclosed. According to the method, a mobile terminal acquires a current ambient brightness value of the mobile terminal (S201). A target working mode of an infrared acquisition device is determined according to the current ambient brightness value (S202). An iris image of a current user is acquired in the target working mode via the infrared acquisition device (S203).

Methods and systems for image collection and dimensional analysis for medical diagnoses

Methods and systems for implementing health monitoring based on changes in body dimensions derived from images of a human collected over long periods of time are presented herein. An image based medical diagnosis system precisely measures body dimensions, changes in body dimensions over time, or both, and identifies whether any measured dimensions, changes in dimensions, or both, have exceeded one or more threshold values indicative of the onset or recurrence of a medically significant condition. In another further aspect, an alert is communicated to medical professionals to further investigate the medical condition of the human user. In one aspect, body dimensions are estimated based on a known value of a reference dimension identifiable in each of the plurality of images. In some examples, the distance between facial features in an image is normalized with respect to the measured inter-pupillary distance associated with that image.

Multiscale variable domain decomposition method and system for iris identification

Method and portable terminal for correcting gaze direction of user in image

A method and portable terminal are provided for correcting a gaze direction of a user in an image. A face of the user is detected in the image. Contour points of an eye area are 5 detected in the detected face. The contour points of the detected eye area in the image are changed to contour points that correspond to a gaze direction toward a reference camera. The gaze direction of the user in the image is corrected by transforming the eye area according to the changed contour points. 407766_1 (GHMOuters) P92691AU 14122013 CD u 0- co ccr Ii-i m:z co EiN coo cr--, L J-- - -- - ...

Systems and methods for biomechanically-based eye signals for interacting with real and virtual objects

Systems and methods are provided for discerning the intent of a device wearer primarily based on movements of the eyes. The system can be included within unobtrusive headwear that performs eye tracking and controls screen display. The system can also utilize remote eye tracking camera(s), remote displays and/or other ancillary inputs. Screen layout is optimized to facilitate the formation and reliable detection of rapid eye signals. The detection of eye signals is based on tracking physiological movements of the eye that are under voluntary control by the device wearer. The detection of eye signals results in actions that are compatible with wearable computing and a wide range of display devices.

Electrically operated domestic appliance having a voice recognition device

The invention relates to an electrically operated domestic appliance (1), in particular a kitchen appliance, comprising a voice recognition device, which voice recognition device is designed to compare voice signals of a user (13) with known control commands for operating the domestic appliance (1), and comprising an activation device for activating the voice recognition device. In order to achieve convenient activation and use of the voice recognition device and in particular to overcome the disadvantages of the prior art, the activation device according to the invention has an optical detection device, wherein the activation device is designed to activate the voice recognition device in dependence on information captured by means of the optical detection device. The invention further relates to a method for operating a domestic appliance according to the invention.

Virtual and augmented reality systems and methods

Configurations are disclosed for presenting virtual reality and augmented reality experiences to users. The system may comprise an image-generating source to provide one or more frames of image data in a time-sequential manner, a light modulator configured to transmit light associated with the one or more frames of image data, a substrate to direct image information to a user's eye, wherein the substrate houses a plurality of reflectors, a first reflector of the plurality of reflectors to reflect transmitted light associated with a first frame of image data at a first angle to the user's eye, and a second reflector to reflect transmitted light associated with a second frame of the image data at a second angle to the user's eye.

Virtual and augmented reality systems and methods

Configurations are disclosed for presenting virtual reality and augmented reality experiences to users. The system may comprise an image-generating source to provide one or more frames of image data in a time-sequential manner, a light modulator configured to transmit light associated with the one or more frames of image data, a substrate to direct image information to a user's eye, wherein the substrate houses a plurality of reflectors, a first reflector of the plurality of reflectors to reflect transmitted light associated with a first frame of image data at a first angle to the user's eye, and a second reflector to reflect transmitted light associated with a second frame of the image data at a second angle to the user's eye.

MULTISCALE VARIABLE DOMAIN DECOMPOSITION METHOD AND SYSTEM FOR IRIS IDENTIFICATION

IRIS RECOGNITION METHODS AND SYSTEMS BASED ON AN IRIS STOCHASTIC TEXTURE MODEL

The present disclosure describes systems and methods of using iris data for authentication.A biometric encoder may translate an image of the iris into a rectangular representation of the iris. The rectangular representation may include a plurality of rows corresponding to a plurality of annular portions of the iris. The biometric encoder may extract an intensity profile from at least one of the plurality of rows, the intensity profile modeled as a stochastic process. The biometric encoder may obtain a stationary stochastic component of the intensity profile by removing a non-stationary stochastic component from the intensity profile. The biometric encoder may remove at least a noise component from the stationary component using auto-regressive based modeling, to produce at least a non-linear background signal, and may combine the non-stationary component and the at least the non-linear background signal, to produce a biometric template for authenticating the person.

SYSTEMS AND METHODS OF BIOMETRIC ACQUISTION USING POSITIVE OPTICAL DISTORTION

The present disclosure describes systems and methods for acquiring a biometric image. A biometric camera system can position a lens of a biometric camera between a pixel array of the biometric camera and an iris. The pixel array can acquire an image of the iris using light reflected from the iris and transmitted through the lens of the biometric camera. The lens can increase a pixels per iris (PPi) value of the image of the iris acquired by the pixel array, by applying optical positive distortion to the light reflected from the iris when the light is optically directed through the lens. A processor can provide a biometric image for biometric matching, by image-processing the acquired image of the iris having the increased PPi value, with an inverse function of the optical positive distortion.

SYSTEM AND METHOD FOR CORRECTING COLOR OF DIGITAL IMAGE BASED ON THE HUMAN SCLERA AND PUPIL

The color correction method in accordance with an embodiment of the present invention can comprise the steps of: acquiring an image from a captured image; detecting the face and eyes from the captured image; separating the sclera and pupil of the detected eye(s); correcting the image by comparing the areas of the sclera and pupil extracted by separating the sclera and pupil with the reference values stored in a database; and extracting the skin color of the face from the corrected image.

APPARATUS FOR OPTICAL COHERENCE TOMOGRAPHY OF AN EYE AND METHOD FOR OPTICAL COHERENCE TOMOGRAPHY OF AN EYE

An apparatus and a method for optical coherence tomography (OCT) of an eye are provided. The apparatus comprises a camera system, an OCT image-acquisition unit, and a control unit.

SYSTEMS AND METHODS FOR DETERMINING PUPILLARY DISTANCE AND SCALE

A computer-implemented method for scaling an object is described. A distance of an object from the computing device is measured via a processor of a computing device in conjunction with a rangefinder. An image of the object is captured via the processor. A database of pixel densities is queried, via the processor, for a pixel density at the measured distance of the object from the computing device. A depiction of the object is scaled based on determining a distance of a detected feature of the object.

APPARATUS AND METHOD FOR ROBUST EYE/GAZING TRACKING

At least one image registering unit records at least one series of images representing a subject. A control unit controls an operation sequence for the at least one image registering unit in such a manner that a subsequent data processing unit receives a repeating sequence of image frames there from, wherein each period (P) contains at least one image frame of a first resolution (501) and at least one image frame of a second resolution (602) being different from the first resolution (501). Based on the registered image frames, the data processing unit produces eye/ gaze tracking data with respect to the subject.

Headset-based telecommunications platform

LINE-OF-SIGHT DETECTION DEVICE, LINE-OF-SIGHT DETECTION METHOD, AND COMPUTER PROGRAM

Image processing method and device, electronic device, storage medium and program

Interacting method, interacting device and user equipment

Eye/gaze tracking system and method

Eyelid detection device and program

An eyelid detection device which on the basis of a primary differential value and a secondary differential value of a gradation change in the vertical direction within the boundary of the eyelid in an image of an eye, shifts the secondary differential value in an upper direction by just one-fourth of the period of the frequency of the gradation change within the boundary of the eyelid, combines the primary differential value and the secondary differential value, and calculates a top eyelid feature amount. The eyelid detection device detects the boundary between the eye and the top eyelid on the basis of the peak point in the vertical direction of the top eyelid feature amount that was calculated. Hereby, the boundary between the eyelid and eye can be correctly detected even when there is make-up on the eyelid.

A iris Image beautiful pupil generating and removing method

Biometric template security and key generation

Iris positioning method and equipment

METHOD FOR ENROLLMENT DATA IN A DATABASE FOR THE PROTECTION OF SAID DATA

METHOD FOR ASSISTING IN DETERMINING PARAMETERS OF SIGHT OF A SUBJECT

PROCESS Of IDENTIFICATION Of a PERSON BY HER IRIS.

L'invention concerne un procédé d'identification (100) d'une personne par son iris, comprenant les étapes: - de capture (102) d'une image d'un oeil à identifier, - de détermination (104) de la limite intérieure de l'iris à partir de l'image, - de mise en place (106) d'une limite extérieure prédéfinie sur l'image, - d'analyse (108), pour ladite limite extérieure, de la zone de l'image comprise entre la limite intérieure et ladite limite extérieure, - de génération (110) d'un code actuel associé, - de comparaison (112) du code actuel avec un code de référence, - de mesure (114) de la ressemblance entre le code actuel et le code de référence, - de prise de décision (116) concernant l'identité de la personne, et - de bouclage sur l'étape de mise en place (106), avec une autre limite extérieure prédéfinie, tant qu'il existe des limites extérieures prédéfinies ou tant que l'étape de prise de décision n'est pas positive.

SYSTEM TO SUPERVISE THE EYES IN ORDER TO DETECT A SOMNOLENT BEHAVIOR

Un système destiné à surveiller les yeux d'un individu comporte une interface (12, 22) humaine permettant d'obtenir des images de l'individu et de fournir une rétroaction à l'individu, et un processeur (14) pour analyser les images. Le processeur (14) transforme une séquence d'images en un signal monodimensionnel en extrayant des traits caractéristiques des images. L'analyse du signal produit permet ensuite de détecter un état de somnolence. La transformation de la séquence d'images met en jeu la localisation des yeux, la poursuite des yeux et la production d'un signal de mouvement oculaire. Le système tire profit de la densité de contraste horizontal relativement élevée de la région des yeux pour déterminer la position des yeux dans une image en niveaux de gris d'un visage humain.

SYSTEM AND A METHOD FOR RECOGNIZING AN IRIS, CAPABLE OF OBTAINING AN IMAGE IRRESPECTIVE OF A FOCUS BY USING A MULTI-FOCUS IMAGE SEQUENCE

PURPOSE: A system and a method for recognizing an iris with a multi-focus image sequence are provided to recognize a low resolution image, an unfocused image, a high resolution image and a focused image by using the multi-focus image sequence. CONSTITUTION: An eye image receiver(20) receives a multi-focus eye image sequence having focus information changed by uniform intervals from the eyes of a user in a predetermined distance by calculating the distance between a camera and the user with a distance sensor. An eye image preprocessor(30) extracts a multi-focus iris image sequence by selecting a plurality of eye images from the multi-focus eye image sequence and separating an iris area between a pupil and collaret of the selected eye images. A feature vector extractor(40) forms a wavelet feature vector by dividing the multi-focus iris image sequence and using a sub band including only the low frequency area from the divided image, and generates the reduced wavelet feature vector and a dimension ...

SYSTEM AND METHOD FOR IDENTIFYING EYE CONDITIONS

WEIGHTING PIXEL INTERPOLATION METHOD FOR CARTESIAN COORDINATES AND POLAR COORDINATE IMAGE CONVERSION FOR IMPROVING IRIS RECOGNITION RATE

PURPOSE: A weighting pixel interpolation method for cartesian coordinates and polar coordinate image conversion for improving iris recognition rate is provided to increase data process speed and iris recognition rate in the iris recognition. CONSTITUTION: Each image pixel is compared. The high weighted value is given to conversion or the image pixel included in the reverse conversion among the image pixel corresponding to inside the boundary line. In case of the image pixel positioned through the boundary line, the median value is given. It does not give the weighted value or the image pixel which completely deviates from the low position. © KIPO 2009 ...

Method for correcting red-eye

The present invention discloses a method for correcting red-eye. Through facial features, at least one facial region is obtained in an image. A nose position in each facial region is obtained by using a nose feature, and the position of at least one eye is obtained based on the relative position between the nose and the eyes. After a color gamut of the image is converted, a red region is obtained from the eye position, and a plurality of edges are formed by using a luminance of the color gamut on the image with the converted color gamut according to the eye feature, so as to exclude the red region out of the plurality of edges, thereby improving the accuracy of the red region on the eye position. Then, the red region is covered with an iris color, so as to correct the red-eye.

Gaze tracking using mapping of pupil center position

Images of an eye (100) are captured by a camera (302). For each of the images, gaze data is obtained (402) and a position of a pupil center (103) is estimated (403) in the image. The gaze data indicates a gaze point (111) and/or gaze direction (107) of the eye (100) when the image was captured. A mapping (510, 520, 530) is calibrated (404) using the obtained gaze data and the estimated positions of the pupil center. The mapping maps positions of the pupil center in images (501) captured by the camera to gaze points (511, 521) at a surface (512, 522), or to gaze directions (531). A further image of the eye is captured by the camera. A position of the pupil center is estimated (406) in the further image. Gaze tracking is performed (407) using the calibrated mapping and the estimated position of the pupil center in the further image. These steps may for example be performed at a HMD (1501).

WEARABLE DEVICE USER AUTHENTICATION

In embodiments, a wearable device (102) includes an imager (108) that captures eye feature images (110) of one or both eyes of a user of the wearable device, such as while the user is wearing the wearable device. The user can then be authenticated based on a comparison of the eye feature images to a biometric template (116) of the user. The eye feature images may include iris images, retina images, and/or eye vein images of the eyes of the user. The user can be authenticated based on each of the iris images, the retina images, and the eye vein images, both individually and in combination. The imager can also be periodically initiated to capture the eye feature images to confirm user presence and maintain operability of the wearable device.

IN-CAMERA BASED METHOD OF DETECTING DEFECT EYE WITH HIGH ACCURACY

A portable digital image acquisition device includes multiple lenses and/or multiple flashes. A main digital image and first and second reference images are acquired. The first and second reference images are acquired with different flash-lens combinations that have different flash-lens distances. One or more flash eye defects are detected and corrected in the main image based on analysis of the first and second reference images.

SYSTEM AND METHOD FOR IDENTIFYING A PERSON WITH REFERENCE TO A SCLERA IMAGE

A method for obtaining an identification characteristic for a subject includes acquiring an image of an eye of the subject, segmenting the eye image into different regions, extracting features in a sclera region segmented from the eye image, and generating data identifying at least one feature extracted from the sclera region of the eye image.

METHOD OF SEARCHING FOR PARAMETERIZED CONTOURS FOR COMPARING IRISES

The subject of the invention is a method for detecting contours for comparing irises. It comprises a step (301, 401, 402) of selecting N candidate contours of circular shape (403, 404, 405, 406) by applying a technique for searching for a circle on an image of edges of an iris (300). It also comprises a step (302, 504, 505, 506, 507) of optimizing the shape and the position of the N candidate contours, the optimized candidate contours being determined by using parametric models, a set of parameters being determined by candidate contour and minimizing a quantity of energy E (C). The method comprises furthermore a step (303, 604) of selecting the best optimized candidate contour (605).

INFANT MONITORING SYSTEM

A monitoring system includes a sensor, a processing block and an alert generator. The sensor is used to generate images of an infant. The processing block processes one or more of the images and identifies a condition with respect to the infant. Then alert generator causes generation of an alert signal if the identified condition warrants external notification. In an embodiment, the sensor is a 3D camera, and the 3D camera, the processing block and the alert generator are part of a unit placed in the vicinity of the infant. The monitoring system further includes microphones and motion sensors to enable detection of sounds and movement.

GAZE DETERMINATION MACHINE LEARNING SYSTEM HAVING ADAPTIVE WEIGHTING OF INPUTS

Machine learning systems and methods that determine gaze direction by using face orientation information, such as facial landmarks, to modify eye direction information determined from images of the subject's eyes. System inputs include eye crops of the eyes of the subject, as well as face orientation information such as facial landmarks of the subject's face in the input image. Facial orientation information, or facial landmark information, is used to determine a coarse prediction of gaze direction as well as to learn a context vector of features describing subject face pose. The context vector is then used to adaptively re-weight the eye direction features determined from the eye crops. The re-weighted features are then combined with the coarse gaze prediction to determine gaze direction.

Correction of red-eye effects in images

After identification of an image or image area where correction is to be effected for red-eye defects, and identification of eye regions within the image or the image area, color data from the area is provided, collected or analyzed according to color channel information. The color channel information may be defined for specific or collections of wavelength values or color content values, usually with at least two channels, up to four or more color channels used to carry all of the information (and with digital images, pixel information) for each color. By using color channel information, local color content information can be readily accessed and evaluated, and after the exact nature or degree of a red-eye effect is determined from evaluation of the color channel information, the data may be readily corrected by a number of different techniques. Templates of colors and/or templates for features (such as glint, pigmentation, or artistic features) may be added to identified regions to be ...

FEATURE EXTRACTION AND MATCHING FOR BIOMETRIC AUTHENTICATION

In a feature extraction and pattern matching system, image sharpening can enable vascular point detection (VPD) for detecting points of interest from visible vasculature of the eye. Pattern Histograms of Extended Multi-Radii Local Binary Patterns and/or Pattern Histograms of Extended Multi-Radii Center Symmetric Local Binary Patterns can provide description of portions of images surrounding a point of interest, and enrollment and verification templates can be generated using points detected via VPD and the corresponding descriptors. Inlier point pairs can be selected from the enrollment and verification templates, and a first match score indicating similarity of the two templates can be computed based on the number of inlier point pairs and one or more parameters of a transform selected by the Inlier detection. A second match score can be computed by applying the selected transform, and either or both scores can be used to authenticate the user.

Gaze tracking through eyewear

A method to furnish input representing gaze direction in a computer system operatively coupled to a vision system. In this method, a first image of an eye at a first level of illumination is acquired by a camera of the vision system. The first image is obtained from the camera, and a second image of the eye corresponding to a second, different level of illumination is also obtained. Brightness of corresponding pixels of the first and second images is compared in order to distinguish a reflection of the illumination by the eye from a reflection of the illumination by eyewear. The input is then furnished based on the reflection of the illumination by the eye.

EYE FATIGUE PREDICTION BASED ON CALCULATED BLOOD VESSEL DENSITY SCORE

An example apparatus for predicting eye fatigue includes an image receiver to receive an image of an eye. The apparatus also includes a fatigue predictor to predict eye fatigue in the eye based on a calculated blood vessel density score of the eye in the image. The apparatus further includes an alert generator to generate an alert in response to predicting the eye fatigue.

Camera device, server device, image monitoring system, control method of image monitoring system, and control program of image monitoring system

An image monitoring system that efficiently utilizes a network band and decrease the processing load of a server is provided. A second image decision processor analyzes an extracted image transmitted from a monitoring terminal, and evaluates the quality (reliability) of the extracted image. A reliability decision unit outputs an individual ID of the analyzed extracted image to a load estimation unit when the numerical value from the analysis output by the second decision processor becomes less than the preset threshold. The load estimation unit estimates the server processor load of a server and the network load. A resend request unit controls the resend request for an individual ID output from the negative load estimation unit corresponding to the server processor load and the network load.

Pupil dilation response for authentication

The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of authenticating users. The innovation retrieves, based on an authentication request, a registered challenge prompt having a video or series of images that are designed to cause a pupil dilation response in a user and an expected pupil dilation response previously associated with the user. The challenge prompt is displayed to the user and the user's pupil dilation response is recorded. The user's pupil dilation response is compared to the expected pupil dilation response. The user is authenticated based on the pupil dilation response and the expected pupil dilation response being substantially similar.

Method and apparatus for detecting blink

A method and apparatus for detecting a blink. An embodiment includes: extracting two frames of face images from a video recording a face; extracting a first to-be-processed eye image and a second to-be-processed eye image respectively from the two frames of face images, and aligning the first to-be-processed eye image with the second to-be-processed eye image through a set marking point, the marking point being used to mark a set position of an eye image; acquiring a difference image between the aligned first to-be-processed eye image and the second to-be-processed eye image, the difference image being used to represent a pixel difference between the first to-be-processed eye image and the second to-be-processed eye image; and importing the difference image into a pre-trained blink detection model to obtain a blink detection label, the blink detection model being used to match the blink detection label corresponding to the difference image.

APPROACHES AND APPARATUS FOR EYE DETECTION IN A DIGITAL IMAGE

A system for finding and providing images of eyes acceptable for review, recordation, analysis, segmentation, mapping, normalization, feature extraction, encoding, storage, enrollment, indexing, matching, and/or the like. The system may acquire images of the candidates run them through a contrast filter. The images may be ranked and a number of candidates may be extracted for a list from where a candidate may be selected. Metrics of the eyes may be measured and their profiles evaluated. Also, the spacing between a pair of eyes may be evaluated to confirm the pair's validity. Eye images that do not measure up to certain standards may be discarded and new ones may be selected.

Camera viewfinder

A camera viewfinder comprises an electronic display apparatus that is configured for the display of images that are recorded by an image sensor of an electronic camera. The camera viewfinder further comprises two mirrors for reflecting the images displayed by the display apparatus, of which at least one mirror is a free-form surface mirror whose reflective surface is formed as a free-form surface that does not have any continuous translation symmetry or rotational symmetry. At least one of the free-form surface mirrors is adjustable to at least partially compensate a vision defect of a user.

SYSTEMS, METHODS, AND MEDIA FOR OPTICAL RECOGNITION

Systems, methods, and media for optical recognition are provided. In some embodiments, systems for optical recognition are provided, the systems comprising: at least one hardware processor that: identifies a plurality of fixation points in optically detected data; identifies features of the plurality of fixation points; and identifies one or more characteristics of an object represented in the optically detected data. In some embodiments, methods for optical recognition are provided, the methods comprising: identifying a plurality of fixation points in optically detected data using a hardware processor; identifying features of the plurality of fixation points using the hardware processor; and identifying one or more characteristics of an object represented in the optically detected data using the hardware processor. In some embodiments, non-transitory computer-readable media containing computer-executable instructions that, when executed by a hardware processor, cause the processor to perform ...

Imaging and display with ellipsoidal lensing structure

An eye is illuminated with light propagating substantially normal to a pupil plane of the eye. Illuminating the eye includes illuminating an ellipsoidal combiner that has a foci at a center of rotation of the eye. The light propagates through the pupil to become incident on the retina.

METHOD AND APPARATUS FOR SEARCHING IMAGES

Disclosed are methods and apparatuses for searching images. An image is received and a first search path is defined for the image. The first search path may be a straight line, horizontal, and/or near the bottom of the image, and/or may begin at one edge and move toward the other. A transition is defined for the image, distinguishing a feature to be found. The image is searched for the transition along the first search path. When the transition is detected, the image is searched along a second search path that follows the transition. The apparatus includes an image sensor and a processor. The sensor is adapted to obtain images. The processor is adapted to define a first search path and a transition for the image, to search for the transition along the first search path, and to search along a second search path upon detecting the transition, following the transition.

Method For Controlling Infrared Fill Light And Related Products

A method for controlling an infrared fill light and related products are provided, and the method includes the follows. A reference biometric recognition pattern that is used by a mobile terminal to process a target event is obtained. A target fill-light strategy corresponding to the reference biometric recognition pattern is determined according to a pre-stored mapping relationship between biometric recognition patterns and fill-light strategies of the infrared fill light. The infrared fill light is controlled to fill light according to the target fill-light strategy when the reference biometric recognition pattern is enabled.

Method and apparatus for filtering red and/or golden eye artifacts

Processing method of a digital image to filter red and/or golden eye artifacts, the digital image comprising a plurality of pixel each comprising at least one digital value represented on a plurality of bits, the method comprising: a step of selecting at least one patch of pixels of the digital image comprising pixels potentially representative of a red and/or golden eye artifact; a step of classifying the at least one patch of pixels as "eye" or "non-eye"; a step of filtering said potentially representative pixels if said patch of pixels is classified as "eye"; wherein the classifying step comprises the operations of: converting the digital values of said patch of pixels into a Gray Code representation, overall obtaining a plurality of bit maps from said patch of pixels, each bit map being associated with a respective bit of said Gray Code; an operation of individually comparing said bit maps with corresponding bit map models belonging to a patch classifier produced by a statistical analysis ...

Position estimation using predetermined patterns of light sources

Methods and systems are described for determining eye position and/or for determining eye movement based on glints. An exemplary computer-implemented method involves: (a) causing a camera that is attached to a head-mounted display (HMD) to record a video of the eye; (b) while the video of the eye is being recorded, causing a plurality of light sources that are attached to the HMD and generally directed towards the eye to switch on and off according to a predetermined pattern, wherein the predetermined pattern is such that at least two of the light sources are switched on at any given time while the video of the eye is being recorded; (c) analyzing the video of the eye to detect controlled glints that correspond to the plurality of light sources; and (d) determining a measure of eye position based on the controlled glints.

Method for gaze tracking

A method for gaze tracking achieves high performances at the same time requiring both limited processor engagement and reduced power, so as to be particularly but not exclusively fit for mobile uses is described. The method includes the steps of: obtaining a digital video stream of a face through a camera, wherein eyes or pupils are identified in corresponding boxes in the spatial domain, the size thereof being function of the face position and orientation relative to said camera, the content of the boxes being the input for the further calculations; transferring the content of the boxes to the frequency domain; applying to the boxes transferred to the frequency domain one or more sparse zones, covering together a fraction of the boxed area transferred to the frequency domain, and a filtering kernel, at least partially overlapping the sparse zones; performing a multiplication between the frequency data within each sparse zone and the kernel, combining the results in a single value for each ...

Method of detecting redeye in a digital image

A method for detecting redeye in a digital image comprises initially examining the image to detect redeyes, examining the image to detect face regions and, from the results of the preceding examinations, identifying those detected face regions each including only one detected redeye. Next, the identified face regions are examined, using less stringent search criteria than the initial examination, to detect additional redeyes in the face regions.

Eye Detection Method and System

An eye detection method for detecting a degree of eye opening and closure of a testee includes detecting a location of an eye pupil, a location of an inner eye corner and a location of an outer eye corner of an eye of the testee; calculating an eye width according to the location of the inner eye corner and the location of the outer eye corner; multiplying the eye width by a specific ratio to obtain an eye height; generating a region of interest with a center on the location of the eye pupil, a length equal to the eye width, and a width equal to the eye height; and determining a ratio of the eye occupying a detection area in the region of interest, and determining the degree of eye opening and closure of the testee accordingly.

Method and apparatus for searching images

Disclosed are methods and apparatuses for searching images. An image is received and a first search path is defined for the image. The first search path may be a straight line, horizontal, and/or near the bottom of the image, and/or may begin at one edge and move toward the other. A transition is defined for the image, distinguishing a feature to be found. The image is searched for the transition along the first search path. When the transition is detected, the image is searched along a second search path that follows the transition. The apparatus includes an image sensor and a processor. The sensor is adapted to obtain images. The processor is adapted to define a first search path and a transition for the image, to search for the transition along the first search path, and to search along a second search path upon detecting the transition, following the transition.

Evaluating user contribution in collaborative environments

Methods, systems and computer program products for evaluating contributions in collaborative environments are provided herein. A computer-implemented method includes obtaining indications of tasks of a given workload that are completed by respective ones of a plurality of client devices. The method also includes identifying first and second tasks completed by first and second client devices at first and second times, determining whether the first task provides a clue for the second task and whether the second time is within a designated time window starting after the first time, and analyzing eye-gaze information to determine whether a second user of the second client device observed a first user of the first client device performing the first task. The method further comprises modifying contribution scores for the first and second users responsive to the determinations.

BIOMETRIC IDENTIFICATION SYSTEMS AND ASSOCIATED DEVICES

The present disclosure provides techniques and apparatus for capturing an image of a person's retina fundus, identifying the person, accessing various electronic records (including health records) or accounts or devices associated with the person, determining the person's predisposition to certain diseases, and/or diagnosing health issues of the person. Some embodiments provide imaging apparatus having one or more imaging devices for capturing one or more images of a person's eye(s). Imaging apparatus described herein may include electronics for analyzing and/or exchanging captured image and/or health data with other devices. In accordance with various embodiments, imaging apparatus described herein may be alternatively or additionally configured for biometric identification and/or health status determination techniques, as described herein.

Image processing apparatus, biometric authentication apparatus, image processing method and recording medium

Interlace noises of the image of an iris included in the image of an eye picked up through an interlaced scheme are corrected precisely within a short time. An image processing apparatus (30) corrects a digital image P based on only low-brightness pixels configuring the image of a pupil included in the digital image P of an eye. Accordingly, interlace noises included in the image of the pupil of the eye and that of the iris can be corrected precisely within a short time. Next, a checking apparatus (50) performs authentication on a subject person based on the image of the iris specified based on the corrected digital image P. Hence, precise authentication is enabled.

Method for the automatic detection of red-eye defects in photographic image data

In a method for the automatic detection of red-eye defects in photographic image data, one processing stage comprises an object recognition process that finds faces in image data based on density progressions that are typical for such faces.

EYE STATE DETECTION METHOD, ELECTRONIC DEVICE, DETECTING APPARATUS AND COMPUTER READABLE STORAGE MEDIUM

An eye state detection method, including: acquiring a target image (101); positioning a plurality of eye feature points in the target image to determine position coordinates of the plurality of eye feature points (102); normalizing the position coordinates of the plurality of eye feature points to obtain normalized position feature data (103); and determining an eye state in the target image based on the position feature data (104). An eye state detection apparatus, a device and a medium are also provided.

SPOOFING DETECTION APPARATUS, SPOOFING DETECTION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM

A spoofing detection apparatus comprises obtaining, from an image capture apparatus, a first image frame that includes the face of a subject person obtained when a light-emitting apparatus is emitting light and a second image frame that includes the face of the subject person obtained when the light-emitting apparatus is turned off, extracting, from the first image frame, information specifying a face portion of the subject person, and extract, from the second image frame, information specifying a face portion of the subject person, extracting a portion that includes a bright point formed by reflection in an iris region of an eye of the subject person, from the first image frame, extracts a portion corresponding to the portion that includes the bright point, from the second image frame, and calculates a feature that is independent of the position of the bright point, and determining authenticity of subject person based on the feature.

Display device and operating method thereof with adjustments display

A display device for displaying an image and a method by which the display device operates to display an image are provided. The display device may include a display configured to output a screen image, an image sensor configured to acquire an image signal, a bending detection sensor configured to detect a bending motion or a bent state of the display device, and a control unit configured to control the display to display an image, which is generated based on the image signal, in a region according to a position at which the display is bent on the screen image if the bending detection sensor detects the bending motion or a bent state.

ELECTRONIC DEVICE AND CONTROL METHOD THEREOF

An electronic apparatus for authenticating a user thereof based on a face angle, a rotational angle of the electronic apparatus, a difference value between the face angle and the rotational angle and a modified face image.

Face-image processing apparatus

A multivalue image of the face input by a CCD camera 2 is stored in a multivalue-image memory 3. A multivalue-image characteristic extracting means 23 extracts a pixel of interest from the stored multivalue face image in accordance with distribution of relative brightness of the brightness of the pixel of interest and those of pixels adjacent to the pixel of interest. The extracted pixel of interest is stored in a binarized-image memory 5. The stored pixel of interest is used to extract an eye region. In accordance with the extracted eye region, an opening/closing determining means 7 determines opening/closing of the eyes.

Read confirmation of electronic messages

Embodiments include techniques for read confirmation of electronic messages, the techniques include displaying a message to a user, and determining one or more portions of the message has been scanned based on a tracking. The techniques also include comparing a threshold to the one or more portions of the message that has been scanned, and presenting an estimated unscanned portion of the message based on the comparison.

IN-CAMERA BASED METHOD OF DETECTING DEFECT EYE WITH HIGH ACCURACY

METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR COMPENSATING EYE COLOR DEFECTS

Storage medium storing an information processing program, information processing apparatus and information processing method

A game apparatus includes a camera cartridge, and detects a plurality of feature points from a facial image of a user photographed by the camera cartridge. The game apparatus calculates areas of black eye regions of a left eye and a right eye by utilizing the plurality of feature points. Then, the game apparatus detects whether or not any one of the left eye and the right eye is closed on the basis of the calculated areas. The game apparatus executes game processing according to the detection result.

Method and device for encoding eye and viewing direction data

Vorgeschlagen wird ein Verfahren und eine Vorrichtung zur Kodierung von Augen- und Blickverlaufsdaten (DAT), welche Raumparameter (t, x, y) in Form von Zahlengruppen (Z0, Z1, Z2...) angeben, die mittels einer Blickerfassungsvorrichtung (Eye-Tracker) gewonnen werden und jeweils einem Blickpunkt (A, B, C, D, E ...) zugeordnet sind. Aus den Zahlengruppen werden paarweise jeweils Zahlenpaare (Z0,Z1; Z0,Z2; Z0,Z3...) miteinander kombiniert, um für jede Kombination einen Wert (W) zu erhalten, der zumindest den räumlichen Abstand (S) zwischen den zwei Blickpunkten (E, C) angibt, wobei die erhaltenen Werte (W) eine Kodierung für die Augen- und Blickverlaufsdaten (DAT) darstellen. Vorzugsweise werden die Werte (W) in Form einer Matrix (M) erfasst und gespeichert. Die Matrix wird vorzugsweise einer oder mehreren Operationen (Filterung, anisotrope Diffusion) unterzogen, so dass die Ergebnismatrix schließlich eine Kodierung bzw. einen Code für Fixierungen, Sakkaden und glatte Folgebewegungen eines ...

DETECTING REDEYE DEFECTS IN DIGITAL IMAGES

Method and system for correcting gaze offset

A method of correcting gaze offset in an image of at least one individual having eyes is disclosed. The method comprises: processing the image to extract location of at least one eye over the image, processing the image to replace imagery data associated with each location of each eye with replacement data thereby providing a corrected image, and transmitting the corrected image to a display device. The replacement data are preferably previously-recorded imagery data which respectively correspond to the same eye but a different gaze.

EYELID DETECTION DEVICE AND PROGRAM

An eyelid detection device that, based on first order differential values and second order differential values of vertical density change at an eyelid boundary in an eye image, shifts the second order differential values upwards by ¼ of the cycle of density change frequency of an eyelid boundary and combines the first order differential values and the second order differential values to compute upper eyelid feature amounts. The eyelid detection device detects a boundary between an upper eyelid and eyeball based on peak points in the vertical direction of the computed upper eyelid feature amounts. Consequently, the boundary between an eyelid and eyeball can be accurately detected even when the eyelid has been applied with makeup. 1. An eyelid detection device , comprising:a generation section that, based on an image of an eye containing region, generates a first order edge image representing a magnitude of pixel value change in a specific direction for each pixel in the region, and generates a second order edge image representing a rate of change in the specific direction of the magnitude of pixel value change in the specific direction for each pixel in the region;a feature amount computation section that shifts the first order edge image or the second order edge image in the specific direction according to a cycle of a pixel value change frequency of an eyelid boundary in the image, and computes a feature amount for each pixel based on pixel values of the pixels in the first order edge image and pixel values of the pixels in the second order edge image; andan eyelid detection section that, based on the feature amount computed for each of the pixels, detects at least one of a boundary between an upper eyelid and an eyeball or a boundary between a lower eyelid and the eyeball.2. The eyelid detection device of claim 1 , further comprising an eye detection section that detects an eye size from the image claim 1 , wherein the feature amount computation section shifts the ...

EYE STATE DETECTION APPARATUS AND METHOD OF DETECTING OPEN AND CLOSED STATES OF EYE

An eye state detection apparatus includes a camera, a first calculator, a memory, a second calculator, and a third calculator. The camera obtains a plurality of face images of a driver. The first calculator calculates an opening amount of an eye of the driver based on each face image. The memory stores the opening amounts calculated by the first calculator. The second calculator groups the opening amounts into a plurality of groups in a sequential manner, calculates a group distribution of each group, calculates an entire distribution of all of the opening amounts, and sets the entire distribution as a reference distribution when a difference among the group distributions is within a predetermined range. The third calculator calculates an opening degree of the eye based on the reference distribution of the opening amounts when the reference distribution of the opening amounts is calculated by the second calculator. 1. An eye state detection apparatus comprising:a camera that obtains a plurality of face images of a driver;a first calculator that calculates an opening amount of an eye of the drier based on each of the face images obtained by the camera;a memory that stores the opening amounts calculated by the first calculator in a sequential manner; grouping the opening amounts stored in the memory into a plurality of groups in a time-sequential manner;', 'calculating a group distribution of the opening amounts included in each of the groups; and', 'calculating an entire distribution of the opening amounts included in all of the groups, and setting the entire distribution of the opening amounts as a reference distribution of the opening amounts when a difference among the group distributions of all of the groups is within a predetermined range; and, 'a second calculatora third calculator that calculates an opening degree of the eye based on the reference distribution of the opening amounts when the reference distribution of the opening amounts is calculated by the ...

IRIS DATA EXTRACTION

A process for extracting iris data for biometric identification includes a thresholding method where the thresholds are selected according to a nonparametric approach that considers the grey scale and does not require classifying pixels as edge or non-edge pixels. An eye image is first acquired, where the eye image has component images including an iris image with an inner boundary and an outer boundary. The eye image has a distribution of grey levels. Component images, such as an iris image or a pupil image, from the eye image are segmented according to the distribution of grey levels. The inner boundary and outer boundary of the iris image are determined from the component images. The iris image within the inner boundary and outer boundary is processed for biometric identification. The component images may be segmented by creating an eye histogram of pixel intensities from the distribution of grey levels. 123-. (canceled)24. A method for segmenting components of an eye image for creating data to be used in a system for processing eye image data , said method comprising the steps of:creating an eye histogram of pixel intensities from a distribution of grey levels of an eye image, said eye histogram having classes, each class corresponding to a component of said eye image;selecting thresholds in said eye histogram to divide said classes of said histogram; andcreating a thresholded image corresponding to each of said classes.25. The method according to claim 24 , wherein said step of selecting thresholds comprises determining maximum variances between said classes.26. The method according to claim 25 , wherein said step of determining maximum variances comprises retrieving results for arithmetic calculations from a look-up table.2749-. (canceled)50. A system for segmenting components of an eye image for creating data to be used for processing eye image data claim 25 , said system comprising:means for creating an eye histogram of pixel intensities from a distribution ...

METHOD AND DEVICE FOR DETERMINING VARIOUS BIOMETRIC PARAMETERS OF AN EYE BY INTERFEROMETRY

Determination of biometric parameters of an eye, in which the optical axis of the biometric measurement system is aligned to the optical axis of an eye. The device includes an interferometry measuring arrangement having a measurement light source and a measurement sensor, a fixation light source for capturing the eye with the reflexes that arise, an image sensor, and lens for detecting volume scattered light and an analysis unit for determining the angular deviation of the optical axis of the eye from the optical axis of the biometric measurement system. The analysis unit compares determined angular deviation to a predefined tolerance and, laterally displaces fixation marks on the basis of the calculated angular deviation, or of initiating the biometric measurement. 118-. (canceled)19. A method for interferometrically determining various biometric parameters of an eye , comprising:illuminating the eye with a measuring beam from a measurement light source and with a fixation light source with a fixation mark;capturing an image of the eye with an image sensor with reflections that arise;determining from the position of the reflections with regard to the center of the pupil or the iris, the angular deviation of the optical axis of the eye from the optical axis of the biometric measuring system by an analysis unit; A) for refixation purposes, illuminating the eye by the fixation light source with a laterally displaced fixation mark based on the calculated angular deviation,', 'B) capturing an image of the eye with the image sensor with the reflections that arise,', 'C) determining from the position of the reflections with regard to the center of the pupil or the iris, the angular deviation of the optical axis of the eye from the optical axis of the ophthalmological device by the analysis unit,', 'D) comparing the determined angular deviation by the analysis unit with a predefined tolerance, and', 'E) repeating method steps A) to D) if the determined angular deviation ...

APPARATUS AND METHOD FOR IRIS RECOGNITION USING MULTIPLE IRIS TEMPLATES

The present invention relates to a method and apparatus for iris recognition using multiple iris templates registered for each individual. The method include acquiring at least one or two eye images of a person to be registered; generating an iris template group for registration from the at least one or two eye images, and storing and registering the iris template group in a database; photographing an eye of the person using a camera placed on a front side of an iris recognition apparatus multiple times to acquire multiple images for authentication; generating an iris template group for authentication comprising multiple iris templates from the multiple eye images; comparing the iris template group for authentication with the registered iris template group for each registered person stored in the database; and performing authentication or identification using the comparison result. 1. An iris recognition method using an iris template group for authentication comprising multiple iris templates for authentication , the method comprising:acquiring at least one or two eye images of a person to be registered;generating an iris template group for registration using at least one or two iris templates for registration generated from the at least one or two eye images, and storing and registering the iris template group in a database as unique iris data for the person;acquiring multiple eye images for authentication of the person using a camera;generating an iris template group for authentication using multiple iris templates for authentication generated from the multiple eye images for authentication;comparing the iris template group for authentication with the registered iris template group for each person registered in the database; andperforming authentication or identification using the comparison result.2. The method of claim 1 , wherein each of the generating an iris template group for registration and the generating an iris template group for authentication from the ...

IMAGE PROCESSING SYSTEM, PROCESSING METHOD, AND STORAGE MEDIUM

An image processing system includes: an analysis unit configured to obtain information indicating a degree of curvature of a retina from a tomographic image of an eye to be examined; and an obtaining unit configured to obtain a category of the eye to be examined based on an analysis result. 1. An image processing system comprising:an analysis unit configured to obtain information indicating a degree of curvature of a retina from a tomographic image of an eye to be examined; andan obtaining unit configured to obtain a category of the eye to be examined based on an analysis result.2. The system according to claim 1 , wherein said analysis unit obtains the information indicating the degree of curvature from three-dimensional shape data generated based on predetermined layer information of the retina.3. The system according to claim 1 , further comprising a selection unit configured to select a predetermined layer from retinal layers claim 1 ,wherein said analysis unit generates three-dimensional shape data of the selected layer.4. The system according to claim 1 , further comprising a display control unit configured to display on a display device in a display mode indicating the category.5. The system according to claim 4 , wherein said analysis unit comprises:a feature amount obtaining unit configured to obtain a first feature amount indicating a shape feature of retinal layers,wherein said display control unit displays, on the display device, both the first feature amount obtained by said feature amount obtaining unit and a plurality of second feature amounts indicating shape features of retinal layers of a plurality of eyes to be examined, which are held in advance in a statistics database.6. The system according to claim 5 , wherein said display control unit displays the first feature amount and the plurality of second feature amounts on the display device by plotting the first feature amount and the plurality of second feature amounts on a graph.7. The system ...

DETECTION OF DISEASE-RELATED RETINAL NERVE FIBER LAYER THINNING

Methods, apparatuses, and computer readable media for detecting abnormalities in a characteristic of an eye using eye-imaging methods are presented. A plurality of images of the eye are received over time. Each image includes a plurality of pixels, which can be partitioned into blocks of pixels with varying sizes, called pixel partitions. A value is determined for each pixel partition, e.g., an average of the pixel values. A pixel partition set may be identified, which includes a pixel partition from each image, corresponding to a common region of a patient's eye. A regression model is computed for each pixel partition set using the values determined for each pixel partition. The regression model computes a rate of change of the retinal nerve fiber thickness at individual pixel partitions over time. An abnormality may be identified by comparing the rates of change of the model and the expected age-related rate of change. 1. A method for identifying regions of abnormalities in a patient's eye , the method comprising:receiving a plurality of images of the patient's eye, each image obtained at a different time, wherein each image of the plurality of images is comprised of a plurality of pixels, each pixel indicating a time-varying characteristic of a particular location in the patient's eye;dividing each image into a plurality of pixel partitions, each pixel partition including one or more pixels;identifying a plurality of pixel partition sets, each pixel partition set comprising a pixel partition from each image, wherein the pixel partitions of the pixel partition set correspond to a common region in the patient's eye; [ 'determining a respective value for the respective common region of the pixel partition set, wherein the respective value corresponds to the time-varying characteristic of the pixel partition at the time of the corresponding image;', 'for each pixel partition of the pixel partition set, 'calculating, with a computer system, a regression model from the ...

PERSON IDENTIFICATION USING OCULAR BIOMETRICS WITH LIVENESS DETECTION

A method of assessing the identity of a person by one or more of: internal non-visible anatomical structure of an eye represented by the Oculomotor Plant Characteristics (OPC), brain performance represented by the Complex Eye Movement patterns (CEM), iris patterns, and periocular information. In some embodiments, a method of making a biometric assessment includes measuring eye movement of a subject, making an assessment of whether the subject is alive based on the measured eye movement, and assessing a person's identity based at least in part on the assessment of whether the subject is alive. In some embodiments, a method of making a biometric assessment includes measuring eye movement of a subject, assessing characteristics from the measured eye movement, and assessing a state of the subject based on the assessed characteristics. 1. A method of assessing a person's identity , comprising:measuring eye movement of the person;estimating one or more anatomical characteristics of an oculomotor plant of the person based at least in part on at least a portion of the measured eye movement;estimating one or more brain's control strategies in guiding visual attention via exhibition of complex eye movement patterns represented in part by spatial paths of the eye computed from the measured eye movement; andassessing the person's identity based in part on at least one of the estimated one or more characteristics of the oculomotor plant of the person, and based in part on one or more properties related to the complex eye movement patterns.2. The method of claim 1 , wherein measuring eye movement of the person comprises eye tracking.3. The method of claim 1 , wherein estimating at least one of the anatomical characteristics of an oculomotor plant of the person comprises creating a two-dimensional mathematical model including at least one of the anatomical characteristics of the oculomotor plant.4. The method of claim 1 , further comprising generating one or more brain's control ...

BIOMETRIC AUTHENTICATION APPARATUS, BIOMETRIC AUTHENTICATION METHOD AND RECORDING MEDIUM

A plurality of pieces of information related to the iris pattern of an eye can be checked against each other in a short time. Characteristic curves (S()-S()), which are in accordance with eight ring areas (A-A) formed by dividing an image of an iris, are generated. The polarities of the gradients of these characteristic curves are then arranged, thereby generating codes (-) to be checked. Each of these codes (-) to be checked consists of a ternary combination of +, − and zero, whereby the amount of data to be handled during the checking process can be reduced. As a result, checking the codes to be checked can be performed in a short time. 1. A biometric authentication apparatus , comprising:a curve calculating unit for calculating, based on a digital image of an iris, curves showing a relationship between polar coordinates indicating a position of the iris on the digital image and luminance of pixels of the digital image of the iris corresponding to coordinate values of the polar coordinates; anda code generating unit for generating a comparison target code by arranging polarities of slopes of the curves in order of the polar coordinate.2. The biometric authentication apparatus according to claim 1 , wherein the curve calculating unit possesses:a first partitioning unit for partitioning the digital image of the iris into multiple annular regions;a second partitioning unit for partitioning each of the annular regions into multiple microregions corresponding to a polar coordinate having an origin that is a center of a circle defining the inside edge of the annular region;a computing unit for calculating the average value of the luminance of the pixels contained in the microregions for each annular region; anda generating unit for generating, for each of the annular regions, a curve showing the relationship between the polar coordinate having the origin that is the center of the circle defining the inside edge for the annular region and the average value of the ...

METHOD OF TRACKING A POSITION OF AN EYE AND A MEDICAL HEAD LAMP USING THE SAME

A method of tracking a position of an eye is provided. The method of tracking a position of an eye includes converting an obtained image into a binary number image, classifying the corner of the eye, maximum and minimum values of a pupil of the eye, and extracting a feature point from the binary number image on which the binarization step is completed, calculating a distance and inclination between the corner and the pupil of the eye using the feature point extracted through the feature point extraction step, and determining a gaze direction of the eye based on the distance and inclination calculated through the distance and inclination calculation step. 1. A method of tracking a position of an eye , comprising:i) a binarization step to convert an obtained image into a binary number image;ii) a feature point extraction step to classify a corner of the eye, maximum and minimum values of the pupil of the eye, and extracting a feature point from the binary number image on which the binarization step is completed;iii) a distance and inclination calculation step to calculate a distance and inclination between the corner and the pupil of the eye using the feature point extracted through the feature point extraction step; andiv) an eye gaze direction determination step to determine a gaze direction of the eye based on the distance and inclination calculated through the distance and inclination calculation step.2. The method of claim 1 , wherein the obtained image in Step i) is an image taken of each of left and right eye regions of the face.3. The method of claim 1 , prior to the binarization step of Step i) claim 1 , further comprising:a skin color removal operation to remove a skin color from the obtained image.4. The method of claim 3 , wherein the removal of the skin color is performed by binarizing the obtained image only when red claim 3 , green and blue pixel values in the image satisfy a predetermined range.5. The method of claim 1 , wherein the feature point ...

OCULAR BIOMETRIC AUTHENTICATION WITH SYSTEM VERIFICATION

A biometric user authentication method and computer program product includes receiving asserted user credentials from a user into a biometric authentication system, and obtaining a digitally-stored image key and ocular biometric data both associated with the asserted user credentials from memory within the biometric authentication system. The biometric authentication system is verified by simultaneously displaying the image key and at least one image other than the image key to the user and detecting that the user has selected the image key. The user is authenticated by scanning an eye of the user to obtain ocular biometric data and matching the scanned ocular biometric data to the digitally stored ocular biometric data. If the biometric system is verified and the user is authenticated, then the user is provided access to a protected area. 1. A biometric user authentication method , comprising:receiving asserted user credentials from a user into a biometric authentication system;obtaining a digitally-stored image key and ocular biometric data both associated with the asserted user credentials from memory within the biometric authentication system;verifying the biometric authentication system by simultaneously displaying the image key and at least one image other than the image key to the user and detecting that the user has selected the image key;authenticating the user by scanning an eye of the user to obtain ocular biometric data and matching the scanned ocular biometric data to the digitally stored ocular biometric data; andproviding user access to a protected area in response to both successfully verifying the biometric system and authenticating the user.2. The biometric user authentication method of claim 1 , further comprising:performing the step of verifying the biometric authentication system as a prerequisite to the step of scanning the eye of the user in authenticating the user.3. The biometric user authentication method of claim 1 , further comprising: ...

Video Infrared Retinal Image Scanner

A method of scanning a retinal image includes providing a light source, emitting radiation from the light source toward a beam splitter, focusing the radiation with a focusing lens on a retina, collecting radiation reflected by the retina with a camera, producing an image signal representative of a plurality of images of the retina based on the collected radiation, selecting one of the plurality of images of the retina for display from the image signal, displaying the selected image of the retina on a display, comparing the selected image of the retina to at least one of a plurality of images of retinas stored in the database that matches the selected image of the retina, and displaying the one of the matching image of the retina on the display along with the selected image of the retina. 1. A retinal image scanner , comprising:an infrared light source;a beam splitter reflecting infrared radiation from the light source through one of a plurality of focusing lenses to a retina;a camera collecting radiation reflected by the retina through the beam splitter;an analog to digital convertor receiving a raw signal from the camera based on the collected radiation;the analog to digital convertor converting the raw signal to a digital signal;a streaming video converter processing the digital signal into a video signal; anda video monitor displaying an image of the retina based on the video signal;the retinal image scanner further comprising a video transmitter, the video transmitter transmitting the video signal to a computer over a network, the computer extracting a plurality of images from the video signal;a comparator comparing at least one of the plurality of images with at least one of a plurality of stored images; anda selector selecting one of the plurality of stored images that matches the one of the plurality of images.2. The retinal image scanner of claim 1 , wherein the video monitor comprises a high-resolution liquid crystal display screen.3. The retinal image ...

Iris Identification System and Method

A method for biometric recognition may be employed on multiple biometrics, including irises and ears. The method includes decomposing the radiometric profile of each line of an image into a plurality of wavelets using a wavelet transform process. A unique signal is calculated using the plurality of wavelets. A template is assembled using the signal and areas of interest in the template are identified. The template is then compared to a second template using the plurality of areas of interest. 1. A method for biometric recognition , comprising the steps of:decomposing a profile of an image into a plurality of wavelets using a wavelet transform process;calculating a signal using the plurality of wavelets;assembling a template using the signal;identifying a plurality of areas of interest in the template; andcomparing the template to a second template using the plurality of areas of interest.2. The method of wherein:the image comprises an image of an iris; andthe steps of decomposing, calculating, assembling, identifying, and comparing are repeated on a second image comprising an image of an ear.3. The method of wherein the iris belongs to a mother and the ear belongs to a child claim 2 , the method confirming a relationship between the mother and the child.4. The method of wherein the wavelet transform process comprises a Haar wavelet transform process.5. The method of wherein the step of comparing comprises calculating the Hausdorff distance between the template and the second template.6. The method of wherein the step of identifying comprises identifying areas of interest by the intensity of an associated signal.7. The method of wherein:the step of decomposing is performed on a plurality of lines of the image;the step of calculating is performed on the plurality of wavelets for each of the plurality of lines; andthe step of assembling includes assembling signals for each of the plurality of lines.8. The method of wherein the signal is calculated using a ratio between ...

IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD

An image processing device for identifying a characteristic of an eye from a face image comprising: a first differentiation unit configured to differentiate an eye region in a crosswise direction of the eye to obtain a first luminance gradient; a first edge extraction unit configured to extract a first and a second edge points; a voting unit configured to vote for an ellipse; a pupil outline identification unit configured to identify an ellipse expressing a pupil outline; a second differentiation unit configured to obtain a second luminance gradient by differentiating in a vertical direction; a second edge extraction unit configured to extract a third edge point; a curve identification unit configured to identify a curve that fits to the third edge point as a curve expressing an eyelid outline; and a pupil region identification unit configured to identify a pupil region based on the identified ellipse and the identified curve. 1. An image processing device for identifying a characteristic of an eye from a face image of a person , the image processing device comprising:a first differentiation unit configured to differentiate an eye region where the eye of the face image exists in a crosswise direction of the eye to obtain a first luminance gradient;a first edge extraction unit configured to extract a first edge point corresponding to a boundary at which a left side is brighter than a right side and a second edge point corresponding to a boundary at which the left side is darker than the right side as edge points from the eye region according to the first luminance gradient;a voting unit configured to vote for an ellipse that is a voting target at each edge point using a Hough transform while changing a weight of the voting with respect to the ellipse according to one of the first edge point and the second edge point and according to a positional relationship between the ellipse and the edge point;a pupil outline identification unit configured to identify an ellipse ...

BIOMETRIC IDENTIFICATION VIA RETINA SCANNING

Various systems, processes, and techniques may be used to achieve biometric identification via retina scanning. In some implementations, systems, processes, and techniques may include the ability to scan a retina using a scanning laser ophthalmoscope to acquire at least one retina image, analyze the image to identify retina blood vessels, and identify a plurality of branch points of the retina blood vessels. The systems processes, and techniques may also include the ability to calculate a data set that represents the identified branch points, compare the calculated data set representing the branch points against at least one pre-stored data set representing retina branch points, and determine whether the calculated data set corresponds to the pre-stored data set. 1. A system for biometric identification via retina scanning , the system comprising:a scanning laser ophthalmoscope adapted to acquire at least one retina image; and analyze the image to identify retina blood vessels;', 'identify a plurality of branch points of the retina blood vessels;', 'calculate a data set that represents the identified branch points;', 'compare the calculated data set representing the branch points against at least one pre-stored data set representing retina branch points; and', 'determine whether the calculated data set corresponds to the pre-stored data set., 'a computer system comprising one or more processors adapted to2. The system of claim 1 , wherein:the scanning laser ophthalmoscope is further adapted to generate a red retina image, a green retina image, and a blue retina image; andthe processor(s) are adapted to convert the three color images into a first grayscale image to analyze the image to identify the retina blood vessels.3. The system of claim 2 , wherein the processor(s) are adapted to remove foreground noise from the first grayscale image to create a second image claim 2 , remove the blood vessels from the second image to create a third image claim 2 , and subtract ...

AUTOMATICALLY DETECTING EYE TYPE IN RETINAL FUNDUS IMAGES

A computer-implemented method includes obtaining an image of a retinal fundus. A plurality of features is extracted from the image of the retinal fundus. The plurality of features includes at least one feature based on anatomical domain knowledge of the retinal fundus and at least one response of a pre-trained deep convolutional neural network to at least a portion of the image of the retinal fundus. The retinal fundus is determined to belong to a left eye or a right eye, based on an analysis of the plurality of features. 1. A computer-implemented method , comprising:cropping a region of interest from an image of a retinal fundus;passing the region of interest through a stack of N learned convolutional layers of a pre-trained deep convolutional neural network;discarding a response of an Nth layer of the N learned convolutional layers to the region of interest;applying principal component analysis on responses of an (N-1)th layer of the N learned convolutional layers to the region of interest to generate a set of principal components;extracting an unsupervised feature of the retinal fundus from the set of principal components; anddetermining whether the retinal fundus belongs to a left eye or a right eye, based on an analysis of a combination of the unsupervised feature and a supervised feature of the retinal fundus.2. The computer-implemented method of claim 1 , wherein the region of interest is centered on an optic disc depicted in the image of the retinal fundus.3. The computer-implemented method of claim 2 , wherein the Nth layer is trained for one thousand classes of a training dataset claim 2 , and the (N-1)th layer generates more than four thousand responses as potential unsupervised features.4. The computer-implemented method of claim 1 , wherein the determining is performed using a support vector machine that has been trained using a plurality of features including the unsupervised feature and a supervised feature of the retinal fundus.5. The computer- ...

SYSTEM AND METHOD FOR OPTICAL DETECTION OF COGNITIVE IMPAIRMENT

A system and method are provided for optical detection of cognitive impairment of a person using a portable video capture device (PVCD). In one embodiment, the method includes: (i) capturing video of an eye exposed to light stimuli over a predetermined time using a video camera of the PVCD; (ii) processing the video to locate at least one feature of the eye; (iii) measuring a change in the feature in response to the light stimuli; (iv) analyzing data from the measured change in the feature by extracting data from the measured change in the feature, calculating a number of parameters from the extracted data, correlating the calculated parameters with predetermined reference parameters and predicting a degree of impairment based on the results of the correlation; and (v) outputting through a user interface in the PVCD the degree of impairment to a user. Other embodiments are also described. 1. A method comprising:capturing video of an eye exposed to light stimuli over a predetermined time using a video camera of a portable video capture device (PVCD);processing the video to locate at least one feature of the eye;measuring a change in the feature over the predetermined time in response to the light stimuli;analyzing data from the measured change in the feature, wherein analyzing data includes extracting data from the measured change in the feature, calculating a number of parameters from the extracted data, correlating the calculated parameters against predetermined reference parameters and predicting a degree of cognitive impairment based on the results of the correlation; andoutputting through a user interface in the portable video capture device the degree of impairment to a user.2. The method of claim 1 , further comprising prior to processing the video collecting environmental data including ambient light claim 1 , PVCD orientation and movement from sensors in the PVCD claim 1 , and calibrating the measured change in the feature based on the environmental data.3. ...

Authentication device, authentication method, and recording medium

An authentication device includes an image acquisition unit, an identification unit, and an authentication unit. The image acquisition unit acquires an image of an eye of a subject. The identification unit identifies the colored pattern of a colored contact lens worn by the subject by comparing a reference image with the image of the eye. The authentication unit identifies the subject, using a feature in a region other than a colored region of the colored pattern in the iris region of the eye.

BIOMETRIC BASED SELF-SOVEREIGN INFORMATION MANAGEMENT

The present teaching relates to method, system, medium, and implementations for authenticating a user. A first request is received to set up authentication information with respect to a user, wherein the first request specifies a type of information to be used for future authentication of the user. It is determined whether the type of information related to the user poses risks based on a reverse information search result. The type of information for being used for future authentication of the user is rejected when the type of information is determined to pose risks. 1. A method , implemented on a machine having at least one processor , storage , and a communication platform for authenticating a user , comprising:receiving a first request to set up authentication information with respect to a user, wherein the authentication information specifies a type of information to be used for future authentication of the user; searching information related to the user from at least one accessible source, and', 'determining that the searched information comprises the type of information to be used for future authentication of the user; and, 'performing, in response to receiving the first request, a reverse information search byadjusting, based on the searched information comprising the type of information to be used for future authentication of the user, the authentication information with respect to the user.2. The method of claim 1 , further comprising:determining, based on the reverse information search, whether the type of information related to the user poses risks.3. The method of claim 2 , wherein the step of adjusting comprises:if the type of information related to the user poses risks, rejecting the type of information for being used for future authentication of the user.4. The method of claim 2 , wherein the step of adjusting comprises:if the type of information related to the user poses risks, replacing the type of information with another type of information ...

CARDIAC MONITORING SYSTEM

An identification system including a first biometric identifier, a second biometric identifier, a first cardiac identifier logically related to the first biometric identifier, a second cardiac identifier logically related to the second biometric identifier, where the identity of a user is verified using the biometric identifiers and the cardiac identifiers. 1. An identification system including:a first biometric identifier;a second biometric identifier;a first cardiac identifier logically related to the first biometric identifier;a second cardiac identifier logically related to the second biometric identifier,wherein,the identity of a user is verified using the biometric identifiers and the cardiac identifiers.2. The system of claim 1 , wherein the first biometric identifier is gathered simultaneously with the first cardiac identifier.3. The system of claim 1 , wherein the second biometric identifier is gathered simultaneously with the second cardiac identifier.4. The system of claim 1 , wherein the first biometric identifier is one of a fingerprint claim 1 , a facial feature or a iris pattern.5. The system of claim 1 , wherein the second is one of a fingerprint claim 1 , a facial feature or a iris pattern.6. The system of claim 1 , wherein the first cardiac identifier is at least one point on an electrocardiogram.7. The system of claim 6 , wherein the second cardiac identifier is the least one point on an electrocardiogram.8. The system of claim 1 , wherein the first and second cardiac identifiers are normalized.9. The system of claim 8 , wherein the normalized cardiac identifiers are logically related to the first biometric identifier and the second biometric identifier.10. The system of claim 1 , wherein the biometric and cardiac identifiers are gathered from a mobile communication device.11. A method of identifying a user of a device claim 1 , the method including the steps of:gathering a first biometric identifier;gathering a second biometric identifier; ...

CONTROL SYSTEM

A control system (′) for enabling operation of a vehicle (), the control system (′) comprising: a gaze sensing component (); a processor () communicatively coupled to the gaze sensing component (); and a controller () communicatively coupled to the processor (); wherein: the gaze sensing component () is configured to detect a gaze characteristic of a user of the vehicle () and send data representative of the gaze characteristic to the processor (); the processor () is configured to identify a primary indication of intent of the user to operate the vehicle () when the user gaze characteristic complies with a predetermined gaze characteristic for a first predetermined time period; and the controller () is configured to generate an activation signal () to enable operation of the vehicle () in dependence on the identified primary indication of intent. 1. A control system for enabling operation of a vehicle , the control system comprising:a gaze sensing component;a processor communicatively coupled to the gaze sensing component; anda controller communicatively coupled to the processor;wherein:the gaze sensing component is configured to detect a gaze characteristic of a user of the vehicle and send data representative of the gaze characteristic to the processor;the processor is configured to identify a primary indication of intent of the user to operate the vehicle when the user gaze characteristic complies with a predetermined gaze characteristic for a first predetermined time period;the controller is configured to generate an activation signal to enable operation of the vehicle in dependence on the identified primary indication of intent;the controller is further configured to generate a feedback signal to enable feedback to be provided to the user based on the user gaze characteristic; andupon identification by the processor that the user gaze characteristic complies with the predetermined gaze characteristic, the controller is configured to generate a feedback signal ...

IMAGE PROCESSING APPARATUS AND METHOD FOR PROCESSING IMAGE FOR DETECTING AN IMAGE AREA INCLUDING A DEFECTIVE COLOR TONE

The invention includes: specifying a face direction in an image including a face; detecting a red-eye area in the face included in the image; and correcting the detected red-eye area in accordance with a correction standard depending on the specified face direction. Alternatively, the invention includes specifying a face direction in an image; and detecting a red-eye area in a face included in the image in accordance with a detection standard depending on the face direction. 1. An apparatus comprising:a specifying unit configured to specify a face direction in an image which includes a face;a red-eye detection unit configured to detect a red-eye area in the face which is included in the image; anda correcting unit configured to correct the red-eye area detected by the red-eye detection unit in accordance with a correction standard depending on the face direction specified by the specifying unit.2. The apparatus according to claim 1 , wherein the correcting unit sets claim 1 , as the correction standard claim 1 , whether the red-eye area is to be corrected depending on the face direction specified by the specifying unit.3. The apparatus according to claim 1 , wherein the correcting unit sets claim 1 , as the correction standard claim 1 , a correction amount in the red-eye area depending on the face direction specified by the specifying unit.4. The apparatus according to claim 1 , wherein the correcting unit changes a correction parameter depending on the face direction specified by the specifying unit.5. The apparatus according to claim 1 , wherein the correcting unit sets the correction amount to become smaller as a degree that the face is directed to a side in the image becomes higher.6. The apparatus according to claim 1 , wherein the correcting unit does not correct the red-eye area detected by the red-eye detection unit if the face in the image is directed to a side.7. The apparatus according to claim 1 , further comprising a direction detection unit configured ...

Method and Apparatus for Construction Machine Visualization

A system for displaying information to an operator of a machine comprises a head tracking system and a projection system. One system for displaying information uses a projection system and a see-through display to present two-dimensional images to an operator. One system uses a projection system and a see-through display to present three-dimensional images to an operator. One system uses a pair of smart glasses to display information to a user based a direction a user is looking. 1. A method comprising:determining a direction of a user's gaze;determining information to be displayed to the user based on the direction of the user's gaze, a current state of a construction site, and a current state of a machine; anddisplaying the information to the user.2. The method of claim 1 , wherein the direction of the user's gaze is determined based on a head position of the user.3. The method of claim 1 , wherein the direction of the user's gaze is determined based on a position of the user's eyes and a direction the user's eyes are looking.4. The method of claim 1 , the determining information to be displayed to a user comprising:determining a difference between the current state of the construction site and a desired site plan;determining an operation to be performed based on the difference, wherein the information comprises the operation to be performed.5. The method of claim 1 , the determining information to be displayed to a user comprising:determining a difference between the current state of the construction site and a desired site plan;generating a value pertaining to a percent of completion of the construction site based on the determining the difference between the current state of the construction site and the desired site plan,wherein information comprises the percent of completion of the construction site.6. The method of claim 1 , further comprising:determining that a user's gaze has changed;determining new information to be displayed to the user based on the ...

INFORMATION PROCESSING APPARATUS AND PROGRAM

An information processing apparatus includes an imaging unit, a display, a detection unit, and a controller. The imaging unit is configured to capture an image to acquire a captured image. The imaging unit is configured to capture an image to acquire a captured image. The display has a display surface that faces in the same direction as an imaging direction of the imaging unit. The detection unit is configured to perform imaging processing on the captured image to detect an opening degree of eye of a user in the captured image. The controller is configured to control a presentation of the display based on a result of the detection by the detection unit. 1. (canceled)2. An information processing apparatus , comprising:circuitry configured to detect an opening degree of a left eye of a user and an opening degree of a right eye of the user in a captured image; andcontrol a display magnification of a target image based on the detected opening degrees of the left eye and the right eye of the user.3. The information processing apparatus according to claim 2 , wherein the circuitry is further configured todetect a change in the opening degrees of the left eye and the right eye of the user, andincrease the display magnification of the target image when the detected change indicates that the user narrows the left eye and the right eye.4. The information processing apparatus according to claim 3 , wherein the circuitry is further configured toin response to a user input from a keyboard, a mouse, or a touch panel, stop adjusting the display magnification of the target image based on the detected change in the opening degrees of the left eye and the right eye of the user.5. The information processing apparatus according to claim 3 , wherein detecting the change in the opening degrees of the left eye and the right eye of the user comprises causing the circuitry todetermine a difference between an opening degree of the left eye of the user in another captured image to the opening ...

Head mounted display and method for controlling the same

Disclosed are a head mounted display (HMD), and a method for controlling the same. The HMD includes: a body having a display unit; a lens driving unit provided at the body, and configured to move a lens unit spaced apart from the display unit, wherein the lens driving unit includes: a lens frame having a first tube portion protruded in a first direction, and coupled to the body; a lens housing having a second tube portion protruded in the first direction and having the lens unit, the second tube portion relatively moved on the first tube portion; a link unit coupled to the lens frame and the lens housing, and configured to move the lens housing; and a driving unit provided at one side of the first tube portion, and configured to operate the link unit.

Robust Eye Tracking for Scanning Laser Ophthalmoscope

A system, apparatus, and method of obtaining an image of a fundus. Acquiring a reference image of the fundus at a first point in time. Acquiring a target image of the fundus at a second point in time. The target imaging area may overlap with the reference imaging area. An area of the target imaging area may be less than an area of the reference imaging area. Estimating movement of the fundus may be based upon at least the target image and the reference image. Acquiring a narrow field image of the fundus. An area of the narrow field imaging area may be less than the area of the target imaging area. A position of the narrow imaging area on the fundus may be adjusted based on the estimated movement of the fundus.

VIDEO DISPLAY SYSTEM, VIDEO DISPLAY METHOD, VIDEO DISPLAY PROGRAM

A video display system that improves convenience of a user by displaying video in a state in which the video can be easily viewed by a user is provided. A video display system according to the present invention includes a video output unit that outputs a video, a gaze detection unit that detects a gaze direction of a user on the video output by the video output unit, a video generation unit that performs video processing so that the user recognizes the video in a predetermined area corresponding to the gaze direction detected by the gaze detection unit better than other areas in the video output by the video output unit, a gaze prediction unit that predicts moving direction of the gaze of the user when the video output by the video output unit is a moving picture, and an extension video generation unit that performs video processing so that, in addition to the video in the predetermined area, the user recognizes the video in a predicted area corresponding to the gaze direction predicted by the gaze prediction unit better than other areas when the video output by the video output unit is a moving picture. 1. A video display system comprising:a video output unit that outputs a video;a gaze detection unit that detects a gaze direction of a user on the video output by the video output unit;a video generation unit that performs video processing so that the user recognizes the video in a predetermined area corresponding to the gaze direction detected by the gaze detection unit better than other areas in the video output by the video output unit;a gaze prediction unit that predicts moving direction of the gaze of the user when the video output by the video output unit is a moving picture; andan extension video generation unit that performs video processing so that, in addition to the video in the predetermined area, the user recognizes the video in a predicted area corresponding to the gaze direction predicted by the gaze prediction unit better than other areas when the ...

METHOD AND APPARATUS FOR IDENTIFYING INPUT FEATURES FOR LATER RECOGNITION

Disclosed are method and apparatus to recognize actors during normal system operation. The method includes defining actor input such as hand gestures, executing and detecting input, and identifying salient features of the actor therein. A model is defined from salient features, and a data set of salient features and/or model are retained, and may be used to identify actors for other inputs. A command such as “unlock” may be executed in response to actor input. Parameters may be applied to further define where, when, how, etc. actor input is executed, such as defining a region for a gesture. The apparatus includes a processor and sensor, the processor defining actor input, identifying salient features, defining a model therefrom, and retaining a data set. A display may also be used to show actor input, a defined region, relevant information, and/or an environment. A stylus or other non-human actor may be used. 1. A method , comprising:defining an actor input for an actor;defining a command associated with said actor input;defining a region for said actor input;detecting said actor input in said region;executing said command in response to said actor input;identifying at least one structural geometric salient feature of said actor from said actor input associated with said executed command;defining a structural geometric actor model of said actor from said at least one structural geometric salient feature;retaining a data set comprising at least one of said at least one structural geometric salient feature or said structural geometric actor model; andusing said data set to identify subsequent actor inputs without requiring further training process from said actor for identifying said salient features of said actor.2. A method , comprising:establishing in a processor of a mobile device an imaging field of view for an imager in communication with said processor;defining an input region in said processor within said imaging field of view, said input region being smaller ...

PUPIL OR IRIS TRACKING FOR LIVENESS DETECTION IN AUTHENTICATION PROCESSES

The disclosed techniques include systems and methods for implementing liveliness detection in an authentication process using pupil or iris tracking. The disclosed techniques can utilize a combination of facial recognition and pupil or iris tracking for liveliness detection in an authentication process to provide an extra layer of security against impersonation attacks. 1. A method , comprising:receiving, via a user interface of an electronic device, a user identification from a user for accessing an electronic service;recording, by a camera communicatively coupled to the electronic device, a video of the user in response to receiving the user identification;extracting, by the electronic device or a second electronic device, a set of frames from the recorded video of the user;executing, by the electronic device or the second electronic device, a face matching process that uses the user identification and one or more frames of the set of frames as input;measuring, by the electronic device or the second electronic device, an amount of movement of a pupil or an iris of an eye of the face of the user over the set of frames, in response to a recorded face of the user in the one or more frames of the set of frames matching stored face data associated with the user identification according to the face matching process; anddetermining, by the electronic device or the second electronic device, to perform a security action based on the amount of movement of the pupil or the iris.2. The method of claim 1 , further comprising:measuring, by the electronic device or the second electronic device, an amount of movement of a second pupil or a second iris of a second eye of the face of the user over the set of frames, in response the recorded face matching the stored face data according to the face matching process; anddetermining, by the electronic device or the second electronic device, to perform a security action based on the amount of movement of the pupil or the iris as well as ...

ELECTRONIC DEVICE FOR PERFORMING AUTHENTICATION BY USING MULTIPLE BIOMETRIC SENSORS AND OPERATION METHOD THEREOF

The present invention relates to an electronic device for performing authentication by using biometric information and an operating method thereof, the electronic device comprising: a first biometric sensor for acquiring biometric information by a first method; a second biometric sensor for acquiring the biometric information or other biometric data by a second method; a display; and a processor, wherein the processor may be configured to acquire context information relating to the first method and the second method, select at least one method from the first method and the second method on the basis of at least a part of the context information, and display at least one graphic object corresponding to the at least one authentication method through the display. 1. An electronic device comprising:a first biometric sensor configured to obtain biometric information using a first method;a second biometric sensor configured to obtain the biometric information or different biometric information using a second method;a display; anda processor, obtain context information associated with the first method and the second method;', 'select at least one method of the first method and the second method on the basis of at least part of the context information; and', 'display at least one graphic object corresponding to the at least one method for authentication., 'wherein the processor is configured to2. The electronic device as claimed in claim 1 , wherein the processor is configured to obtain external environment information of the electronic device using the first biometric sensor claim 1 , the second biometric sensor claim 1 , or a sensor capable of detecting external light of the electronic device which is functionally connected to the electronic device in at least part of an operation of obtaining the context information.3. The electronic device as claimed in claim 1 , wherein the processor is configured to obtain attribute information about a function running in the ...

SYSTEM, METHOD, AND RECORDING MEDIUM FOR TRACKING GAZE USING ONLY A MONOCULAR CAMERA FROM A MOVING SCREEN

A gaze tracking method, system, and non-transitory computer readable medium for tracking an eye gaze on a device including a monocular camera and an accelerometer, include calculating a parametric equation of a gaze vector passing through a pupil of a user and an eye ball center of the user, calculating a new offset plane equation of a screen of the device based on yaw, roll, and pitch offset readings from a stationary registered plane equation initially determined from the screen of the device, and calculating an intersection of the eye gaze vector with the new offset plane equation. 1. A gaze tracking system for tracking an eye gaze on a device including a monocular camera and an accelerometer , the system comprising:a gaze vector calculating circuit configured to calculate a parametric equation of an eye gaze vector passing through a pupil of a user and an eye ball center of the user;a plane calculating circuit configured to calculate a new offset plane equation of a screen of the device based on yaw, roll, and pitch offset readings from a stationary registered plane equation initially determined from the screen of the device; andan intersection calculating circuit configured to calculate an intersection of the eye gaze vector calculated by the gaze vector calculating circuit with the new offset plane equation calculated by the plane calculating circuit.2. The system of claim 1 , wherein the monocular camera detects a position of the pupil and the eye ball center claim 1 , andwherein the accelerometer detects a roll, a pitch, and a yaw of the device using acceleration readings of the device.3. The system of claim 1 , wherein the gaze vector calculating circuit calculates the eye gaze vector by:estimating a position of eye corners of the user and a location of the pupil in relation to the eye corners;calculating the eye ball center of the user as a mid-point between the eye corners; anddetermining the eye gaze vector as a vector passing through the eye ball center ...

METHOD OF DETECTING FRAUD OF AN IRIS RECOGNITION SYSTEM

A method of detecting attempted fraud against a system recognising the iris of the human eye includes generation of a first image of an iris using first means of image capture in a visible light spectrum, and generation of a second image of said iris using second means of image capture in a near infra-red spectrum. The method also includes determination of at least one characteristic of the first image as a function of respective optical characteristics of pixels of a plurality of pixels of this first image and determination of at least one characteristic of the second image determined as a function of respective luminous intensities of pixels of a plurality of pixels of this second image. As a function of these determined characteristics, a signal representative of suspected detection of attempted fraud is generated. 1. A method of detecting attempted fraud against a recognition system for recognising the iris of the human eye , comprising:generation of a first image of an iris of the human eye observed using first means of image capture sensitive in a visible light spectrum and over a frequency range covering at least 50% of the visible light spectrum, wherein this first image is a broad spectrum colour image;generation of a second image of said iris observed using second means of image capture sensitive in a near infra-red spectrum;determination of at least one characteristic of the first image determined as a function of respective optical characteristics of pixels of a plurality of pixels of this first image; anddetermination of at least one characteristic of the second image determined as a function of respective luminous intensities of pixels of a plurality of pixels of this second image; andas a function of said at least one characteristic of the first image thus determined and of said at least one characteristic of the second image thus determined, a signal representative of suspected detection of attempted fraud will be generated.2. The method according to ...

Tile Image Based Scanning for Head Position for Eye and Gaze Tracking

An eye tracking method comprising: capturing image data by an image sensor; determining a region of interest as a subarea or disconnected subareas of said sensor which is to be read out from said sensor to perform an eye tracking based on the read out image data; wherein said determining said region of interest comprises: a) initially reading out only a part of the area of said sensor; b) searching the image data of said initially read out part for one or more features representing the eye position and/or the head position of a subject to be tracked; c) if said search for one or more features has been successful, determining the region of interest based on the location of the successfully searched one or more features, and d) if said search for one or more features has not been successful, reading out a further part of said sensor to perform a search for one or more features representing the eye position and/or the head position based on said further part. 1. A method comprising:retrieving first image data corresponding to a first portion of an image sensor;searching the first image data for one or more tracking features representing the eye position and/or the head position of a subject to be tracked;determining, based on searching the first image data, that the first image data lacks the one or more tracking features;in response to determining that the first image data lacks the one or more tracking features, retrieving second image data corresponding to a second portion of the image sensor, wherein the second portion is different than the first portion; andsearching at least the second image data for the one or more tracking features.2. The method of claim 1 , wherein the first portion of the image sensor is selected based on a location of one or more previously detected tracking features.3. The method of claim 1 , wherein the first portion of the image sensor is selected independent of locations of previously detected tracking features.4. The method of claim 1 , ...

Image capture device with contemporaneous image correction mechanism

A hand-held or otherwise portable or spatial or temporal performance-based image capture device includes one or more lenses, an aperture and a main sensor for capturing an original main image. A secondary sensor and optical system are for capturing a reference image that has temporal and spatial overlap with the original image. The device performs an image processing method including capturing the main image with the main sensor and the reference image with the secondary sensor, and utilizing information from the reference image to enhance the main image. The main and secondary sensors are contained together within a housing. 1. A computer-implemented method comprising:receiving a plurality of images of nominally the same scene;determining whether a particular image, of the plurality of images, comprises a region that includes sub-optimal depictions of one or more eyes; [ corresponds to the particular region in the particular image, and', 'does not comprise the sub-optimal depiction of one or more eyes; and, 'selecting, from the plurality of images, a particular different image that comprises a certain region that, 'generating a combination image based, at least in part, on the particular image and the particular different image;, 'in response to determining that the particular image comprises a particular region that includes sub-optimal depictions of one or more eyeswherein the method is performed by one or more processors of a computing device configured as an optical system.2. The method of claim 1 , wherein one or more images of the plurality of images are obtained using one or more infra-red sensors.3. The method of claim 1 , wherein the determining whether the particular image comprises a region that includes sub-optimal depictions of one or more eyes comprises determining whether the particular image comprises a region that includes a depiction of a blinking-eye claim 1 , and if so claim 1 , determining a degree to which the blinking-eye is shut.4. The ...

Machine learning based driver assistance

A method for machine learning based driver assistance is provided. The method may include detecting, in one or more images of a driver operating an automobile, one or more facial landmarks. The detection of the one or more facial landmarks may include applying, to the one or more images, a first machine learning model. A gaze dynamics of the driver may be determined based at least on the one or more facial landmarks. The gaze dynamics of the driver may include a change in a gaze zone of the driver from a first gaze zone to a second gaze zone. A state of the driver may be determined based at least on the gaze dynamics of the driver. An operation of the automobile may be controlled based at least on the state of the driver. Related systems and articles of manufacture, including computer program products, are also provided.

NEURAL NETWORK FOR EYE IMAGE SEGMENTATION AND IMAGE QUALITY ESTIMATION

Systems and methods for eye image segmentation and image quality estimation are disclosed. In one aspect, after receiving an eye image, a device such as an augmented reality device can process the eye image using a convolutional neural network with a merged architecture to generate both a segmented eye image and a quality estimation of the eye image. The segmented eye image can include a background region, a sclera region, an iris region, or a pupil region. In another aspect, a convolutional neural network with a merged architecture can be trained for eye image segmentation and image quality estimation. In yet another aspect, the device can use the segmented eye image to determine eye contours such as a pupil contour and an iris contour. The device can use the eye contours to create a polar image of the iris region for computing an iris code or biometric authentication. 1. A method for determining eye contours in a semantically segmented eye image , the method is under control of a hardware processor and comprises: wherein the color value of the pixel of the semantically segmented eye image is a first color value, a second color value, a third color value, or a fourth color value,', 'wherein the first color value corresponds to a background of the eye image,', 'wherein the second color value corresponds to a sclera of the eye in the eye image,', 'wherein the third color value corresponds to an iris of the eye in the eye image, and', 'wherein the fourth color value corresponds to a pupil of the eye in the eye image;, 'receiving a semantically segmented eye image of an eye image comprising a plurality of pixels, wherein a pixel of the semantically segmented eye image has a color value,'}determining a pupil contour using the semantically segmented eye image; anddetermining an iris contour using the semantically segmented eye image.2. The method of claim 1 , wherein the first color value is greater than the second color value claim 1 , wherein the second color value is ...

MODIFICATION PROFILE GENERATION FOR VISION DEFECTS RELATED TO DOUBLE VISION OR DYNAMIC ABERRATIONS

In certain embodiments, vision defect information may be generated via a dynamic eye-characteristic-based fixation point. In some embodiments, a first stimulus may be displayed at a first location on a user interface based on a fixation point for a visual test presentation. The fixation point for the visual test presentation may be adjusted during the visual test presentation based on eye characteristic information related to a user. As an example, the eye characteristic information may indicate a characteristic of an eye of the user that occurred during the visual test presentation. A second stimulus may be displayed during the visual test presentation at a second interface location on the user interface based on the adjusted fixation point for the visual test presentation. Vision defect information associated with the user may be generated based on feedback information indicating feedback related to the first stimulus and feedback related to the second stimulus. 120.-. (canceled)21. A system for facilitating modifications for dynamic vision defects , the system comprising: [ causing a reference eye of the user to invoke the gaze direction and fixate on a respective position on a second display of the wearable device for the reference eye by presenting a first stimulus at the position on the second display for the reference eye without a stimulus being presented on the first display for the deviating eye;', 'in connection with removing the presentation of the first stimulus, causing a deviating eye of a user to fixate on the position on the first display for the deviating eye by presenting a second stimulus at the position on the first display for the deviating eye without a stimulus being presented on the second display for the reference eye; and', 'determining the deviation measurement related to the gaze direction based on an amount of movement of the deviating eye occurring upon the presentation on the second stimulus at the position on the first display for ...

EYE IMAGING IN HEAD WORN COMPUTING

Head-worn computers with eye-imaging systems include a camera system positioned in a head-worn computer, wherein the camera system is further positioned to capture eye-image light that originates as reflections from a user's eye, wherein the camera system is further positioned to capture eye-image light as a reflection from a partially reflective surface that is positioned in front of an image display in the head-worn computer, wherein image light, from the image display, is transmitted through the partially reflective surface. A processor is adapted to cause the camera system to capture the eye-image light. The processor is further adapted to cause a comparison of the captured eye-image light with a pre-stored eye image of a known user of the head-worn computer. In the event the comparison confirms the identity of the known user, the user is granted permission to view content to be presented in a display of the head-worn computer. 1. (canceled)2. A system comprising: a camera;', 'a display;', 'a source of image light; and', 'a partially reflective surface positioned to receive image light from the source of image light; and, 'a wearable head device comprising causing image light to be transmitted, via the source of image light and further via the partially reflective surface, toward an eye of a first user of the wearable head device;', 'detecting, via the camera, eye-image light comprising a reflection of at least a portion of light that has been transmitted toward the eye of the first user;', 'comparing the detected eye-image light with eye image data corresponding to an authorized user;', 'determining, based on the comparison, that the first user corresponds to the authorized user; and', 'in response to determining that the first user corresponds to the authorized user, presenting, via the display, a first content to the first user., 'one or more processors configured to perform a method comprising3. The system of claim 2 , wherein:presenting the first content to ...

METHOD AND DEVICE FOR ACQUIRING IRIS IMAGE

A method for acquiring an iris image is provided. The method includes: acquiring an image including an eye of a person; identifying a position of an eyeball in the image; determining a parameter for photographing an iris based on the position of the eyeball; and capturing the iris image based on the parameter. 1. A method for acquiring an iris image , comprising:acquiring an image including an eye of a person;identifying a position of an eyeball in the image;determining a parameter for photographing an iris based on the position of the eyeball; andcapturing the iris image based on the parameter.2. The method according to claim 1 , wherein identifying the position of the eyeball comprises:identifying a position of the eye in the image; andidentifying a position of a center of the eyeball and a radius of the eyeball based on the position of the eye.3. The method according to claim 2 , wherein identifying the position of the eye in the image comprises:identifying a region in the image containing the eye based on an AdaBoost algorithm.4. The method according to claim 3 , wherein the position of the center of the eyeball and the radius of the eyeball are identified by performing a radial symmetry transform (RST) in the region.5. The method according to claim 1 , wherein determining the parameter for capturing the iris image comprises:acquiring a predetermined eyeball radius; anddetermining a focal point and a focal length for capturing a near-infrared iris image based on a position of a center of the eyeball and the predetermined eyeball radius.6. The method according to claim 1 , wherein acquiring the image comprises:photographing the eye of the person to obtain the image.7. The method according to claim 1 , wherein the iris image is a near-infrared image claim 1 , and the parameter is used for capturing the near-infrared image.8. The method according to claim 1 , wherein the image is acquired by using a visible light camera claim 1 , and the iris image is captured by ...

Securable wearable computer interface

A wearable computer interface comprising a three dimensional (3D) range camera and a picture camera that image the user and a controller that process the images to identify the user and determine if the user is authorized to use the interface to access functionalities provided by a computer interfaced by the interface.

Image capture systems, devices, and methods that autofocus based on eye-tracking

Image capture systems, devices, and methods that automatically focus on objects in the user's field of view based on where the user is looking/gazing are described. The image capture system includes an eye tracker subsystem in communication with an autofocus camera to facilitate effortless and precise focusing of the autofocus camera on objects of interest to the user. The autofocus camera automatically focuses on what the user is looking at based on gaze direction determined by the eye tracker subsystem and one or more focus property(ies) of the object, such as its physical distance or light characteristics such as contrast and/or phase. The image capture system is particularly well-suited for use in a wearable heads-up display to capture focused images of objects in the user's field of view with minimal intervention from the user.

Dark circle detection and evaluation method and apparatus

A dark circle detection and evaluation method includes: obtaining a to-be-processed image; extracting a dark circle region of interest from the to-be-processed image; performing color clustering on the dark circle region of interest to obtain n types of colors in the dark circle region of interest, where n is a positive integer; recognizing a dark circle region in the dark circle region of interest based on the n types of colors; and obtaining a dark circle evaluation result based on the dark circle region.

VISUAL LINE DETECTION DEVICE AND VISUAL LINE DETECTION METHOD

There is provided a visual line detection device including at least one light source configured to radiate light to an eyeball of a user observing a display surface through at least one optical member, and an imaging unit configured to acquire a captured image of the eyeball used to detect a visual line of the user on the display surface by detecting reflected light of the light from the eyeball. The reflected right from the eyeball passes through at least the optical member installed in an optical path along which the light from the display surface travels from the display surface to the eyeball of the user, and is incident on the imaging unit. 1. A visual line detection device comprising:at least one light source configured to radiate light to an eyeball of a user observing a display surface through at least one optical member; andan imaging unit configured to acquire a captured image of the eyeball used to detect a visual line of the user on the display surface by detecting reflected light of the light from the eyeball,wherein the reflected right from the eyeball passes through at least the optical member installed in an optical path along which the light from the display surface travels from the display surface to the eyeball of the user, and is incident on the imaging unit.2. The visual line detection device according to claim 1 , wherein a plurality of the light sources are installed at positions at which the light is radiated to the eyeball of the user in mutually different directions.3. The visual line detection device according to claim 2 , wherein the plurality of light sources are selectively driven under a driving condition according to observation state information regarding a state in which the user observes the display surface.4. The visual line detection device according to claim 3 , wherein the observation state information includes at least one of information regarding a shape of an eye of the user claim 3 , information regarding whether the user ...

ELECTRONIC DEVICE AND EYE REGION DETECTION METHOD IN ELECTRONIC DEVICE

A method and an electronic device are provided in association with iris recognition. The electronic device includes a camera module that obtains a Near-Infrared Ray (NIR) image, and a controller that converts the NIR image into an integral image, detects at least one candidate eye region from the integral image using at least one mask, detects a pupil region and an eyebrow region from the at least one candidate eye region, and to detect an eye region based on the pupil region. 1. An electronic device , comprising:a camera module configured to obtain a Near-Infrared Ray (NIR) image; anda controller configured to convert the NIR image into an integral image, to detect at least one candidate eye region from the integral image using at least one mask, to detect a pupil region and an eyebrow region from the at least one candidate eye region, and to detect an eye region based on the pupil region.2. The electronic device of claim 1 , wherein the controller detects the pupil region from a final candidate eye region selected from the at least one candidate eye region.3. The electronic device of claim 1 , wherein the camera module comprises:a lens unit that transmits an optical signal reflected from a subject;a Near-Infrared Ray (NIR) light that emits light of a Near-Infrared Ray (NIR) band with respect to a subject;a Near-Infrared Ray (NIR) filter that passes an optical signal of the NIR band among optical signals that are incident through the lens unit after being reflected from the subject; and,an image sensor that converts, into an NIR image signal, an optical signal of the NIR band that passes through the NIR filter, and outputs the NIR signal.4. The device of claim 1 , wherein the at least one mask includes a mask including a main block claim 1 , a first sub-block on the left of the main block claim 1 , and a second sub-block on the right of the main block.5. The electronic device of claim 4 , wherein the controller searches the integral image using the mask claim 4 , ...

IDENTIFYING AND AUTHENTICATING AUTONOMOUS VEHICLES AND PASSENGERS

A method comprising receiving, by a vehicle computer, first information specifying a user, a time, and a location, the first information received by the vehicle computer from a first communication channel; causing the vehicle to navigate to the geographic location so as to arrive at the specified location; at the geographic location: receiving, by the vehicle computer, second information identifying the individual, time and location, the second information received over a second communication channel different than the first communication channel, the second information sent by a mobile device at the location; comparing, by the vehicle computer, the first information and the second information; and responsive to the comparing, causing, by the vehicle computer, one or more doors of the vehicle to unlock or open. 1. A method comprising:receiving, by a vehicle computer, first information specifying a user, a time and a location, the first information received by the vehicle computer from a first communication channel;causing the vehicle to navigate to the geographic location so as to arrive at the specified location; receiving, by the vehicle computer, second information identifying the individual, time and location, the second information received over a second communication channel different than the first communication channel the second information sent by a mobile device at the location;', 'comparing, by the vehicle computer, the first information and the second information; and', 'responsive to the comparing, causing, by the vehicle computer, one or more doors of the vehicle to unlock or open., 'at the geographic location2. The method of claim 1 , wherein the first information is received over-the-air (OTA) from a network-based OTA platform.3. The method of any one of claim 1 , wherein the second communication channel comprises a Bluetooth communication channel.4. The method of any one of claim 1 , wherein the second information includes biometric information ...

Portable Phone with Eye Detecting Module

A portable phone includes a control unit, a first communication module coupled to the control unit, and a second communication module coupled to the control unit. A touch screen and a display are formed on the portable device; memory is coupled to the control unit to store an application. An image capturing device is coupled to the processing unit, and an eye-detecting illumination is formed on the portable device to detect user's eye. An eye-sensor is formed on the portable phone to sense the detected light from the user's eye for generating an eye image; an eye characteristic recognition module is provided within the portable device to compare a template in the portable phone with the eye image; wherein the application is accessed after the eye image matches with the template. A template refreshing system is provided to refresh an old template by a new template. 1. A portable phone , comprising:a control unit;a first communication module coupled to said control unit;a second communication module coupled to said control unit;a touch screen and a display formed on said portable device;a memory coupled to said control unit to store an application;an image capturing device coupled to said processing unit;an eye-detecting illumination formed on said portable device to detect user's eye;an eye-sensor formed on said portable phone to sense said detected light from said user's eye for generating an eye image;an eye characteristic recognition module within said portable device to compare a template in said portable phone with said eye image; andwherein said application is accessed after said eye image matches with said template.2. The portable phone of claim 1 , wherein said portable phone includes a voiceprint recognition module.3. The portable phone of claim 1 , wherein said portable phone includes a fingerprint capture device.4. The portable phone of claim 3 , wherein said portable phone includes a fingerprint recognition module.5. The portable phone of claim 1 , ...

EYE STATE DETECTING METHOD AND EYE STATE DETECTING SYSTEM

An eye state detecting method, applied to an electronic apparatus with an image sensor, comprising: (a) defining a detecting range according to a possible location of a user's eye, wherein the detecting range is smaller than a maximum detecting range that the electronic apparatus can apply; (b) capturing a detecting image via the detecting range; and (c) determining whether the user's eye is in an opening state or in a closing state according a brightness of to the detecting image. The present invention also discloses a method applying a smaller determining range to determine if the user's eye is open or close. 1. An eye state detecting method , applied to an electronic apparatus with an image sensor , comprising:(a) defining a detecting range according to a possible location of a user's eye, wherein the detecting range is smaller than a maximum detecting range that the electronic apparatus can apply;(b) capturing a detecting image via the detecting range; and(c) determining whether the user's eye is in an opening state or in a closing state according a brightness of to the detecting image.2. The eye state detecting method of claim 1 , applied to a wearable apparatus claim 1 , wherein the step (a) predefines the possible location on the wearable apparatus.3. The eye state detecting method of claim 2 , wherein the wearable apparatus is a smart glass.4. The eye state detecting method of claim 1 , wherein the step (c) further comprises:(c1) computing a brightness variation tendency for a peripheral part of a darkest part of the detecting image; and(c2) determining whether the user's eye is in the opening state or in the closing state according to the brightness variation tendency.5. The eye state detecting method of claim 4 , wherein the step (c1) further comprises:(c11) computing a brightness sum for a plurality of image lines of the detecting image in a particular direction;(c12) applying one of the image lines which has the brightness sum with a lowest value as a ...

Method of Detecting Boundaries of the Human Eye

A method of generating a reliable image of an iris for subsequent optical analysis leading to identification or authentication of a mammal. The method comprises directing point light sources towards the iris, capturing a gray scale image of the iris and reflections of the point light sources, deriving a two tone image from the gray scale image, generating an image containing the true boundaries of the pupil, determining boundaries of the iris and generating an image containing the true boundaries of the iris, and generating a final image of the iris from the image containing the true boundaries of the iris. This establishes a reliable image of the iris. The process may further comprise conducting an identification or authentication process based on optical analysis of the final image of the iris and comparison with a pre-established data corresponding to a person whose identity has been confirmed. 1. A method of generating a reliable image of an iris for subsequent optical analysis leading to identification or authentication of a mammal , comprising:directing point light sources towards the iris;capturing a gray scale image of the iris and reflections of the point light sources;deriving a two tone image from the gray scale image;extracting from the two tone image that part of the image which immediately surrounds the pupil;determining true boundaries of the pupil from that part of the image which immediately surrounds the pupil and generating an image containing the true boundaries of the pupil;generating a succeeding image of the true boundaries of the pupil;determining boundaries of the iris and generating an image containing the true boundaries of the iris; andgenerating a final image of the iris from the image containing the true boundaries of the iris.2. The method of claim 1 , further comprising conducting an identification or authentication process based on optical analysis of the final image of the iris and comparison with a pre-established data ...

WEARABLE RETINA/IRIS SCAN AUTHENTICATION SYSTEM

A wearable retina/iris authentication system includes: a frame; a retina/iris scanner mounted to the frame for capturing images of a retina and/or an iris of a user; a mobile computing device, the mobile computing device including a memory for storing information about the user; a position determining device coupled to the mobile computing device for continuously determining a location of the user and providing the location to the mobile computing device; a display mounted to the frame and coupled to the mobile computing device for displaying information received from the mobile computing device; a database for storing information about one or more of a plurality of retina images and a plurality of iris images for matching with the captured images of one or more of the retina and the iris of the user; and a communication interface for comminuting with external systems remote to the wearable system. 1. A wearable retina/iris authentication system comprising:a frame mountable on a head of a user;a retina/iris scanner mounted to the frame for capturing images of one or more of a retina and an iris of the user;a mobile computing device wearable by the user and electrically coupled to the retina/iris scanner, the mobile computing device including a memory for storing information about the user;a position determining device coupled to the mobile computing device for continuously determining a location of the user and providing the location to the mobile computing device;a display mounted to the frame and coupled to the mobile computing device for displaying information received from the mobile computing device;a database for storing information about one or more of a plurality of retina images and a plurality of iris images for matching with the captured images of one or more of the retina and the iris of the user; anda communication interface for comminuting with external systems remote to the wearable system, whereinthe mobile computing device continuously authenticates ...

System and Method for Display Enhancement

In one embodiment, method for enhancing a display includes receiving an optical image of a face of a user and detecting whether the user is squinting in accordance with the optical image. The method also includes detecting a region on the display where the user is looking. Additionally, the method includes enhancing the region on the display where the user is looking when the user is squinting. 1. A method for enhancing a display , the method comprising:receiving an optical image of a face of a user;detecting whether the user is squinting in accordance with the optical image;detecting a region on the display where the user is looking; andenhancing the region on the display where the user is looking when the user is squinting.2. The method of claim 1 , wherein detecting whether the user is squinting comprises:detecting the face of the user from the optical image;extracting facial data from the face of the user to produce extracted facial data; andrecognizing a facial expression of the face of the user in accordance with the extracted facial data.3. The method of claim 1 , further comprising receiving an infrared image of the face of the user claim 1 , wherein detecting the region on the display where the user is looking comprises detecting the region on the display where the user is looking in accordance with the infrared image.4. The method of claim 3 , wherein receiving the infrared image comprises:illuminating an infrared light source; andreceiving the infrared image from an infrared camera.5. The method of claim 3 , wherein detecting the region on the display where the user is looking comprises:determining whether to perform dark pupil detection or bright pupil detection in accordance with the infrared image;performing dark pupil detection when it is determined to perform dark pupil detection; andperforming bright pupil detection when it is determined to perform bright pupil detection.6. The method of claim 5 , wherein determining whether to perform dark pupil ...

SYSTEMS AND METHODS OF EYE TRACKING CALIBRATION

An image of a user's eyes and/or face, captured by a camera on the computing device or on a device coupled to the computing device, may be analyzed using computer-vision algorithms, such as eye tracking and gaze detection algorithms, to determine the location of the user's eyes and estimate the gaze information associated with the user. A user calibration process may be conducted to calculate calibration parameters associated with the user. These calibration parameters may be taken into account to accurately determine the location of the user's eyes and estimate the location on the display at which the user is looking. The calibration process may include determining a plane on which the user's eyes converge and relating that plane to a plane of a screen on which calibration targets are displayed. 1. A method comprising:displaying an object on a display of a computing device in communication with an eye tracking device, the object being associated with a calculation of calibration parameters relating to a calibration of a calculation of gaze information of a user of the computing device, the gaze information indicating information about where the user is looking;while the object is displayed, receiving, from the eye tracking device, an image of at least one eye of the user;determining eye information associated with the user, the eye information being based on the image and relating to eye features associated with the at least one eye of the user; andcalculating one or more of the calibration parameters and one or more geometry parameters based on the eye information, the one or more geometry parameters indicating information associated with the display relative to the eye tracking device.2. The method of claim 1 , further comprising:displaying a second object on the display of the computing device;while the second object is displayed, receiving, from the eye tracking device, a second image of the at least one eye of the user;determining second eye information ...

METHOD AND SYSTEM FOR CORRECTING GAZE OFFSET

A method of correcting gaze offset in an image of at least one individual having eyes is disclosed. The method comprises: processing the image to extract location of at least one eye over the image, processing the image to replace imagery data associated with each location of each eye with replacement data thereby providing a corrected image, and transmitting the corrected image to a display device. The replacement data are preferably previously-recorded imagery data which respectively correspond to the same eye but a different gaze. 1. A method of correcting gaze offset in an image of at least one individual having eyes , comprising:processing the image so as to extract location of at least one eye over the image;determining whether an eyelid of said at least one eye is close or open; andconditionally to a determination that said eyelid is open, processing the image to replace imagery data associated with each location of each eye with replacement data, said replacement data being previously-recorded imagery data which respectively correspond to the same eye but a different gaze, thereby providing a corrected image, and transmitting said corrected image to a display device.2. The method of claim 1 , further comprising claim 1 , prior to said extraction of said locations claim 1 , capturing at least one image of each of the at least one individual at one or more predetermined gazes claim 1 , thereby providing said previously-recorded data.3. The method according to claim 1 , further comprising processing said previously-recorded data so as to compute eye parameters wherein said replacing is based on said computed parameters.4. The method according to claim 3 , further comprising applying a morphological transformation to said previously-recorded data according to said parameters.5. The method according to claim 3 , further comprising varying said parameters so as to optimize a predetermined objective function describing matching between said replacement data and ...

VEHICLE SAFETY SYSTEM AND OPERATING METHOD THEREOF

There is provided a vehicle safety system including a sensing unit, a processing unit, a control unit and a display unit. The sensing unit is configured to capture an image frame containing an eyeball image from a predetermined distance. The processing unit is configured to calculate a pupil position of the eyeball image in the image frame and generate a drive signal corresponding to the pupil position. The control unit is configured to trigger a vehicle device associated with the pupil position according to the drive signal. The display unit is configured to show information of the vehicle device. 1. A vehicle safety system comprising:a sensing unit configured to capture an image frame containing an eyeball image of an eyeball from a predetermined distance;a processing unit configured to calculate a pupil position of the eyeball image in the image frame and generate a drive signal corresponding to the pupil position; anda control unit configured to trigger a vehicle device associated with the pupil position according to the drive signal.2. The vehicle safety system as claimed in claim 1 , further comprising:a light source configured to emit light toward the eyeball to generate at least one glint on the eyeball,wherein the processing unit is configured to determine the pupil position according to a spatial relationship between a pupil image and at least one glint image in the image frame.3. The vehicle safety system as claimed in claim 1 , wherein the eyeball image is divided into at least two sub-regions to respectively correspond to different functions; and the processing unit is configured to respectively calculate a gray value of each of the at least two sub-regions and identify the pupil position as one of the two sub-regions according to the calculated gray values.4. The vehicle safety system as claimed in claim 3 , wherein the gray value is an average gray value or a summation of gray values.5. The vehicle safety system as claimed in claim 1 , wherein the ...

IRIS BIOMETRIC MATCHING SYSTEM

A method and apparatus for biometric iris matching comprising pre-processing an input image capturing one or more eyes to produce one or more rectified iris images, coding the one or more rectified iris images into one or more multiresolution iris codes and matching the one or more multiresolution iris code with a set of stored multiresolution iris codes to determine whether a match exists. 1. A method for biometric iris matching comprising:pre-processing an input image capturing one or more eyes to produce one or more rectified iris images;coding the one or more rectified iris images into one or more multiresolution iris codes; andmatching the one or more multiresolution iris code with a set of stored multiresolution iris codes to determine whether a match exists.2. The method of wherein the pre-processing further comprises:segmenting a pupil area in each of the one or more eyes in the input image;segmenting an iris area from a sclera area in each of the one or more eyes in the input image; andinserting an artificial pupil within the segmented pupil area.3. The method of wherein segmenting the pupil and segmenting an iris/sclera boundary comprises:generating one or more edge maps corresponding to each eye in the input image;constructing one or more candidate pupil contours based on the one or more edge map, wherein each edge map contains at least one candidate pupil contour; anddetermining a best matching candidate pupil contour for each eye in the input image.4. The method of wherein constructing one or more candidate pupil contours comprises:constructing a first candidate pupil contour from a best fitting circle for each of the one or more edge maps;constructing a second candidate pupil contour from a best inscribed circle for each of the one or more edge maps; anddetermining the best matching candidate pupil contour between the first candidate pupil contour and the second candidate pupil contour.5. The method of further comprising:determining the best match by ...

BIOMETRIC IDENTIFICATION VIA RETINA SCANNING WITH LIVENESS DETECTION

Various systems, processes, and techniques may be used to achieve biometric identification via retina scanning with liveness detection. In some implementations, systems, processes, and techniques may include the ability to scan a retina to acquire at least one retina image and analyze the image to identify retinal components. The systems, processes, and techniques may also include the ability to compute and compare the information about the identified retinal components with pre-stored information and determine whether the scanned retina is associated with the pre-stored information. The systems, processes, and techniques may further include the ability to determine whether the imaged retina is composed of live tissue. The security system may then perform a chain of actions based on the matching and live tissue results. 1. A system for biometric identification via retina scanning with liveness detection , the system comprising:an image acquisition subsystem adapted to acquire at least one non-mydriatic image of a retina and to acquire at least one non-mydriatic image of blood flow therethrough; analyze a retina image to identify retina blood vessels;', 'identify a plurality of components of the retina blood vessels;', 'calculate a data set that represents the identified components;', 'compare the calculated data set representing the components against at least one pre-stored data set representing retina components;', 'determine whether the calculated data set corresponds to the pre-stored data set; and', 'analyze the blood flow image to determine whether the imaged retina is composed of live tissue; and', 'determine whether to grant access to a resource based on the correspondence of the calculated data set to the pre-stored data set and the imaged retina is composed of live tissue., 'an image analysis subsystem comprising one or more processors adapted to2. The system of claim 1 , wherein the image acquisition subsystem is adapted to utilize light sources of ...

IRIS AUTHENTICATION METHOD AND DEVICE USING DISPLAY INFORMATION

An electronic device for performing iris authentication, according to various examples of the present invention, can comprise: an image sensor for outputting an image obtained by photographing an eye part; a display for displaying an iris authentication screen image; and a control unit detecting at least a partial region from the captured eye part image so as to perform iris authentication by adjusting display characteristics of the display on the basis of a result obtained by comparing the size of the detected region with the size of a region required for the iris authentication, and various examples are possible. 1. An electronic device for performing iris authentication , comprising:an image sensor that outputs an image obtained by photographing an eye region;a display that displays an iris authentication screen; anda control unit that detects at least a partial region from the image of the photographed eye region and performs the iris authentication by adjusting output characteristics of the display based on a result obtained by comparing a size of the detected at least the partial region with a size of a region required for the iris authentication.2. The electronic device as claimed in claim 1 , wherein the output characteristics of the display include a brightness of the display.3. The electronic device as claimed in claim 1 , wherein the control unit adjusts the output characteristics of the display by changing at least one of a brightness claim 1 , a chroma claim 1 , and a contrast of the image displayed on the display.4. The electronic device as claimed in claim 1 , wherein the at least the partial region includes pupil and iris regions of the image of the eye region.5. The electronic device as claimed in claim 4 , wherein claim 4 , when a size of the pupil region is larger than the size of the region required for the iris authentication claim 4 , the control unit increases a brightness of the display.6. The electronic device as claimed in claim 5 , wherein ...

PROCESS AND SYSTEM FOR VIDEO SPOOF DETECTION BASED ON LIVENESS EVALUATION

The invention presents a process for determining a video as being a spoof or a genuine recording of a live biometric characteristic, characterized in that it comprises the steps of: 1. A process for determining a video of a biometric characteristic as being a spoof or a genuine recording of a live biometric characteristic , wherein the video comprises a temporal sequence of frames (j) , the process being implemented in a system comprising a processing unit , characterized in that it comprises the steps of:preprocessing the video, said preprocessing comprising aligning the biometric characteristic on each frame of the video, computing a difference between a motion intensity of a current frame and a motion intensity of each frame of a set of preceding frames,', 'inferring, from said differences, a differential motion intensity of the current frame,', 'inferring from the differential motion intensities of the plurality of frames a motion intensity of the video,', 'comparing said motion intensity to a predetermined threshold, and assigning a liveness score to the video, depending on a the-comparison of the motion intensity of the video with the threshold, and, 'determining a liveness score of the video, said determination comprising, for each frame of a plurality of framesaccording to the liveness scores of the video, determining whether the video is a genuine recording of a biometric characteristic or a spoof.2. A process according to claim 1 , wherein the motion intensity of a frame comprises phase variation of the frame claim 1 , and motion intensity of the video comprises phase variation of the video.3. A process according to claim 1 , wherein motion intensity of the video is inferred from differential motion intensities of at least ten frames of the video.4. A process according to claim 1 , wherein the set of frames for computation of the motion intensity difference with the current frame comprises from three to eight frames claim 1 , and preferably five frames ...

ELECTRONIC DEVICE AND OPERATING METHOD THEREOF

An electronic device and a method of operating the electronic device are provided. The electronic device includes a proximity detector; an iris recognition module; a memory; and a processor electrically connected to the proximity detector, the iris recognition module, and the memory, wherein the processor is configured to execute an iris recognition operation based on the iris recognition module; determine proximity of an object based on the proximity detector while the iris recognition operation is performed; and, if the proximity of the object includes within a set reference range, stop the iris recognition operation. 1. An electronic device , comprising:a proximity detector;an iris recognition module;a memory; anda processor electrically connected to the proximity detector, the iris recognition module, and the memory, wherein the processor is configured to:execute an iris recognition operation based on the iris recognition module;determine proximity of an object based on the proximity detector while the iris recognition operation is performed; andif the proximity of the object is within a set reference range, stop the iris recognition operation.2. The electronic device of claim 1 , wherein the iris recognition module comprises:a light source module configured to output light during the iris recognition operation; andan infrared camera configured to acquire an iris image using infrared rays.3. The electronic device of claim 2 , wherein claim 2 , if the proximity detector determines that the object approaches within the set reference range during the iris recognition operation claim 2 , the processor is further configured to deactivate the iris recognition module and stop the light source module from emitting light.4. The electronic device of claim 1 , wherein the processor is further configured to output a guide corresponding to stopping the iris recognition operation based on at least a part of a visual claim 1 , auditory claim 1 , or tactile method.5. The ...

ADAPTIVE QUANTIZATION METHOD FOR IRIS IMAGE ENCODING

A user recognition method that uses an iris is provided. The user recognition method includes generating a first mask for blocking a non-iris object area of an iris image, generating a converted iris image, in which the non-iris object area is blocked according to the first mask, generating a second mask for additionally blocking an inconsistent area, in which quantization results of the converted iris image are inconsistent, by adaptively transforming the first mask according to features of the converted iris image, obtaining an iris code by quantizing pixels included in the iris image, obtaining a converted iris code, in which portions corresponding to the non-iris object area and the inconsistent area are blocked, by applying the second mask to the iris code, and recognizing a user by matching a reference iris code, stored by the user in advance, to the converted iris code. 1. A user recognition method using an iris , the user recognition method comprising:generating a first mask for blocking a non-iris object area of an iris image;generating a converted iris image, in which the non-iris object area is blocked according to the first mask;generating a second mask for additionally blocking an inconsistent area, in which quantization results of the converted iris image are inconsistent, by adaptively transforming the first mask according to features of the converted iris image;obtaining an iris code by quantizing pixels included in the iris image;obtaining a converted iris code, in which portions corresponding to the non-iris object area and the inconsistent area are blocked, by applying the second mask to the iris code; andrecognizing a user by matching a reference iris code, stored by the user in advance, to the converted iris code.2. The user recognition method of claim 1 , further comprising:obtaining an eye image from a face image;segmenting an iris image expressed according to polar coordinates from the eye image; andnormalizing the iris image to be expressed ...

SPOOFING ATTACK DETECTION DURING LIVE IMAGE CAPTURE

In general, one innovative aspect of the subject matter described in this specification can be embodied in a computer-implemented method. The method includes, detecting, by an imaging device, the presence of an object to be imaged. The method further includes, measuring, by the imaging device, a first characteristic of the object to be imaged, and measuring, by the imaging device, a second characteristic of the object to be imaged. The method further includes, determining, by a computing device, that at least one of the first characteristic of the object or the second characteristic of the object exceeds a threshold; and in response to determining, indicating, by the computing device, whether the object to be imaged is one of a spoofed object or an actual object. 1. A computer-implemented method , the method comprising:detecting, by an imaging device, the presence of an object to be imaged;measuring, by the imaging device, a distance between the imaging device and the object to be imaged;using, by a computing device, the measured distance and at least one feature of the imaging device to determine a characteristic of the object to be imaged;determining, by the computing device, whether the characteristic of the object exceeds a threshold; andindicating, by the computing device, whether the object to be imaged is one of a spoofed object and an actual object.2. The method of claim 1 , wherein the determined characteristic of the object to be imaged is the size of the object.3. The method of claim 1 , wherein the at least one feature of the imaging device includes one of:focal length of a lens of the imaging device,size of an imaging sensor of the imaging device,image pixel resolution of the imaging sensor, andobject size of the image in pixels.4. The method of claim 3 , wherein determining the characteristic of the object to be imaged includes using a width of an image detected by the imaging device and a width of the imaging sensor.5. The method of claim 4 , wherein ...

Eye Gesture Tracking

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for eye gesture recognition. In one aspect, a method includes obtaining an electrical signal that represents a measurement, by a photodetector, of an optical signal reflected from an eye and determining a depth map of the eye based on phase differences between the electrical signal generated by the photodetector and a reference signal. Further, the method includes determining gaze information that represents a gaze of the eye based on the depth map and providing output data representing the gaze information.

VISUAL AURA AROUND FIELD OF VIEW

A wearable device can have a field of view through which a user can perceive real or virtual objects. The device can display a visual aura representing contextual information associated with an object that is outside the user's field of view. The visual aura can be displayed near an edge of the field of view and can dynamically change as the contextual information associated with the object changes, e.g., the relative position of the object and the user (or the user's field of view) changes. 1. A system for providing an indication of a hidden virtual object in a three-dimensional (3D) environment of a user , the system comprising:a display system of a wearable device configured to present a three-dimensional view to a user, wherein the display system comprises a first light field display for a first eye of the user and a second light field display for a second eye of the user, and wherein the first and second light field displays are configured to render a visual representation of an aura;a sensor configured to acquire data associated with a pose of the user; and identify a virtual object within a Field of View (FOV) of the user via the display system;', 'calculate a location of the virtual object in relation to the pose of the user;', 'render a first visual representation of the aura by the first light field display at a first edge of a first FOV associated with the first eye; and', 'render a second visual representation of the aura by the second light field display at a second edge of a second FOV associated with the second eye, wherein the second visual representation does not match stereoscopically with the first visual representation and is rendered at a depth that is different than other virtual content rendered by the display system., 'a hardware processor in communication with the sensor and the display system, the hardware processor programmed to2. The system of claim 1 , wherein the first representation of the aura and the second representation of the aura ...

Method, Eyetracker and Computer Program for Determining Eye Positions in Digital Image Data

An eyetracker obtains a digital image representing at least one eye of a subject. The eyetracker then searches for pupil candidates in the digital image according to a search algorithm and, based on the searching, determines a position for the at least one eye in the digital image. The eyetracker also obtains light-intensity information expressing an estimated amount of light energy exposing the at least one eye when registering the digital image. In response to the light-intensity information, the eye-tracker determines a range of pupil sizes. The search algorithm applies the range of pupil sizes in such a manner that a detected pupil candidate must have size within the range of pupil sizes to be accepted by the search algorithm as a valid pupil of the subject. 2. The method according to claim 1 , wherein the determining of the range of pupil sizes comprises using an eye model that defines the range of pupil sizes based on the light-intensity information.3. The method according to claim 2 , wherein the eye model that defines the range of pupil sizes is further based on at least one parameter describing a pupil behavior in response to variations in the estimated amount of light energy exposing the at least one eye.4. The method according to claim 1 , wherein the determining of the range of pupil sizes is based on a calibration procedure performed prior to obtaining the light-intensity information expressing an estimated amount of light energy exposing the at least one eye claim 1 , the calibration procedure comprising:selectively illuminating the at least one eye with light of first and second intensities,registering, for each of the first and second intensities, a pupil size of the at least one eye, and based thereongenerating at least one of a mapping function and a look-up table describing a relationship between the estimated amount of light energy that exposes the at least one eye and an estimated pupil size exhibited by the at least one eye at said estimated ...

Systems and Methods for Automated Image Classification and Segmentation

Optical coherence tomography (OCT) may be used to acquire cross-sectional or volumetric images of any specimen, including biological specimens such as the retina. Additional processing of the OCT data may be performed to generate images of features of interest. In some embodiments, these features may be in motion relative to their surroundings, e.g., blood in the retinal vasculature. The proposed invention describes a combination of images acquired by OCT, manual segmentations of these images by experts, and an artificial neural network for the automated segmentation and classification of features in the OCT images. As a specific example, the performance of the systems and methods described herein are presented for the automatic segmentation of blood vessels in images acquired with OCT angiography. 1. A system , comprising:a light source to emit a light to a beam splitter, which separates the light into two optical arms, a sample arm and a reference arm;the sample arm further comprises of a sample and light delivery optics; anda reference arm comprising a reference mirror;a light returning from the sample and reference arms combined through the beam splitter and directed towards at least one detector to generate an optical interference signal;an instrument controller for controlling the acquisition of the interference signal;a processor to process the interference signal to generate at least one image;manually segment at least one image to label features of interest;train a neural network to extract the features of interest using the manually segmented images;segment the features using the trained neural network.2. System of ; where the processor generates at least one of en face images claim 1 , images comprising flowing material claim 1 , and angiograms.3. The system of ; where the features of interest comprise of at least one of capillaries and vessels.4. The system of ; where the neural network is comprised of convolutional neural networks.5. The system of ; ...

IRIS COLLECTION METHOD, ELECTRONIC DEVICE, AND COMPUTER READABLE STORAGE MEDIUM

An iris collection method is used for an electronic device. The electronic device includes an iris recognition module. The iris recognition module includes an infrared light source. The iris collection method includes acquiring a distance between the iris recognition module and an iris of a person to be recognized; adjusting light intensity of transmitted infrared light according to the distance by the infrared light source, so that light intensity of infrared light reaching the iris of the person to be recognized is a target light intensity; and collecting an iris image of the iris by acquiring infrared light having the target light intensity reflected by the iris. An electronic device and a computer readable storage medium are also disclosed. 1. An iris collection method , used for an electronic device , the electronic device comprising an iris recognition module , the iris recognition module comprising an infrared light source , the iris collection method comprising:acquiring a distance between the iris recognition module and an iris of a person to be recognized;adjusting light intensity of transmitted infrared light according to the distance by the infrared light source, so that light intensity of infrared light reaching the iris of the person to be recognized is a target light intensity; andcollecting an iris image of the iris by acquiring infrared light having the target light intensity reflected by the iris.2. The iris collection method of claim 1 , wherein the electronic device comprises a distance detector claim 1 , and the acquiring the distance between the iris recognition module and the iris of the person to be recognized comprises:transmitting laser signals to the iris;receiving reflected laser signals from the iris;calculating a plurality of sub distances according to time differences from the transmitted laser signals to the received reflected laser signals; anddetermining a maximum one of the sub distances, a median one of the sub distances, or an ...

Method of registering and identifying a user of a voice-controlled device

The present invention is related to a method of registering and identifying a user of a voice-controlled device. The method comprising: registering the user of the device, determining at least one of a facial, eye and body features of the user upon determining at least one characteristic of a voice input from the user is below a threshold level, determining an output upon comparing the determined at least one of the facial, eye and body features of the user with a prestored information associated with the user in a database and identifying the user in accordance with the determined output. 1. A method of identifying a user by a voice-controlled device comprising:determining at least one of a facial, eyes and body features of the user, upon determining at least one characteristic of a voice input from the user is below a threshold level;determining an output, upon comparing the determined at least one of the facial, eyes and body features of the user with a prestored information associated with the user, in a database; andidentifying the user in accordance with the determined output.2. The method of claim 1 , wherein the threshold level is claim 1 , at least partially claim 1 , a non-audible voice input.3. The method of claim 1 , wherein the facial feature is at least one of eyebrows claim 1 , cheeks claim 1 , chin claim 1 , ears claim 1 , hairs claim 1 , eyes claim 1 , head dimensions claim 1 , facial gestures such as wink claim 1 , smile claim 1 , nod and other expressions or combination of facial components such as distance between eyeballs claim 1 , shape of nose claim 1 , distance from eyes to mouth. The camera of the device is configured for scanning the facial patterns of the user for recognition and identification of the user via their facial features. The captures facial feature and voice input of user are used to create the profile of the user.4. The method of claim 1 , wherein the eye feature is at least one of an iris claim 1 , the sclera or feature seen ...

METHOD FOR CODING IRIS PATTERN

According to one embodiment of the present invention, a method for coding an iris pattern divides an iris area into a plurality of sectors on the basis of the assumption that a user's pupil and iris are not circular and then can code an iris pattern included in each sector. According to the present invention, an error occurrence frequency can be minimized compared with a case that an iris pattern is coded on the basis of the assumption that a pupil and an iris are circular. 1. A method of coding iris patterns , the method comprising steps of:calculating distances from a center of a pupil to boundaries between the pupil and an iris;calculating an average of the distances from the center of the pupil to the boundaries between the pupil and the iris by a predetermined second angular interval;determining distances from the boundaries between the pupil and the iris to points at which iris data is to be obtained by the second angular interval;generating blocks from pixels included in an area from the boundaries between the pupil and the iris to the points at which the iris data is to be obtained;generating specific areas by aligning the pixels of the blocks in accordance with distances;dividing the blocks into a predetermined number of sectors in accordance with positional information of the pixels of the specific areas; andcoding iris patterns included in the sectors.2. The method according to claim 1 , wherein claim 1 , in the step of calculating the distances from the center of the pupil to the boundaries between the pupil and the iris claim 1 , the distances from the center of the pupil to the boundaries between the pupil and the iris are calculated within a predetermined angular range by a predetermined first angular interval.3. The method according to claim 1 , wherein the step of determining the distances from the boundaries between the pupil and the iris to the points at which the iris data is to be obtained comprises a step of determining the distances to the ...

AUTOMATED BLOOD VESSEL FEATURE DETECTION AND QUANTIFICATION FOR RETINAL IMAGE GRADING AND DISEASE SCREENING

A method for vessel mapping and quantification. The method comprises pre-processing a retinal image to generate a vessel segmented image and processing the vessel segmented image to generate an image with a central light reflex. The method further includes identifying a cylindrical or tube-shaped region in the central light reflex and determining a closed contour representing the cylindrical shaped region and representing the closed contour by a function. The method computes a ratio of a minimum and maximum radius of the cylinder to determine an average shape of the cylinder associated with the central light reflex by using the function. The image is further processed to apply a morphological skeletonization operation to generate vessel centerlines and the segmented vascular network of the retinal image. In an example embodiment, a method for artery-vein nicking quantification for retinal blood vessels is performed by computing width of the vessel near and away from a cross over point of the vessels. In another example embodiment, a feature associate with the central light reflex is identified and compared with a second feature in the same location evaluated at a different time zone to confirm the associated shape of the light reflex. In another example embodiment, retinal focal arteriolar narrowing (FAN) is identified and quantified value is generated. In another example embodiment, a true optic disc is identified based on a combination of features and parameters associate with the vessel. 1. A method for vessel classification , the method comprising:pre-processing a retinal image to generate a vessel segmented image;first processing the vessel segmented image to generate an image with a central light reflex;identifying a cylindrical shaped region in the central light reflex;determining a closed contour representing the cylindrical shaped region and representing the closed contour by a function;computing a ratio of a minimum and maximum radius of the cylindrical ...

PHOTOGRAPHING APPARATUS, METHOD AND MEDIUM USING IMAGE RECOGNITION

Processing for judging whether a face is included in a frame is performed, in a predetermined interval, on each of frames included in a moving image of a subject, displayed on a monitor, until the judgment becomes positive. If it is judged that a face is included in a frame, the facial position is detected in the frame, and stored. Then, judgment is made as to whether a face is included in the next frame after predetermined time. If the judgment is positive, the facial position is detected. The previously stored facial position is replaced by the newly detected facial position, and the newly detected facial position is stored. These processes are repeated until photographing operation is performed by operating a release unit. 1. A camera device , comprising:a display for displaying a moving image;a memory for storing facial position data;a user interface for receiving a user instruction of a photographing operation to generate image data; anda processor configured to perform a face detection processing, a storing processing, the photographing operation, and a predetermined correction processing,wherein the face detection processing detects whether or not a human face is included in a frame of the moving image,wherein the storing processing stores facial position data in a case in which a human face is detected to be in the frame based on a result of the face detection processing,wherein the predetermined correction processing improves an image quality of the detected human face of the image data,wherein the processor is configured to perform the face detection processing on each of successive frames of the moving image until the user interface receives the user instruction from a user, and to perform the storing processing in a case in which the a human face is detected to be in one of the successive frames, andwherein the processor is configured to perform the photographing operation and the predetermined correction processing, based on receiving the user ...

Video fractal cross correlated action bubble transition

An approach is provided in which the approach displays a main video feed and multiple secondary video feeds on a display. The multiple secondary video feeds are embedded in the main video feed at multiple locations based on visual characteristics sets of the multiple secondary video feeds. The approach dynamically detects a level of interest of a user at a first one of the locations in the main video feed based on a set of physical characteristics of the user. The approach identifies a first one of secondary video feeds that corresponds to the first location and, in turn, resizes the first secondary video feed based on the detected level of interest.

Vision Screening Apparatus with a Visual Acuity Protocol Compliance Feature and an Associated Method of Vision Screening

A vision screening apparatus includes first and second display units, a processor, and instructions which are executable by the processor. The instructions, when executed by the processor, cause the apparatus to 1) carry out a photorefraction test of a subject, 2) estimate the subject's visual acuity based on the photorefraction test, 3) present the subject with a visual acuity check optotype for an interval of time, and 4) monitor for noncompliance with a visual acuity check protocol during at least part of the time interval. 1. A vision screening apparatus , comprising:a first display unit;a second display unit;a processor; and carry out a photorefraction test of a subject;', "estimate the subject's visual acuity based on the photorefraction test;", 'present the subject with a visual acuity check optotype for an interval of time;', 'monitor for noncompliance with a visual acuity check protocol during at least part of the time interval; and', 'if a noncompliance is identified, issue a notification., 'instructions which, when executed by the processor cause the apparatus to2. The apparatus of wherein the instructions are adapted claim 1 , in response to identification of noncompliance claim 1 , to cause the apparatus to:discontinue presenting the subject with the visual acuity check optotype and;subsequently perform the presenting and monitoring actions without first repeating the actions of carrying out and estimating actions.3. The apparatus of wherein the noncompliance monitored for is at least one of A) the subject's use of more than one eye to discern the optotype claim 1 , and B) the subject squinting to discern the optotype.4. The apparatus of wherein the instructions cause the apparatus to identify the subject's use of more than one eye by detecting more than one pupil in an image claim 3 , and the instructions cause the apparatus to identify squinting by detecting an irregularity in the image or in a different image.5. The apparatus of wherein the ...

METHOD AND APPARATUS FOR FACILITATING IMPROVED BIOMETRIC RECOGNITION USING IRIS SEGMENTATION

Various methods are provided for facilitating biometric recognition. One example method may comprise receiving an image, the image comprising a plurality of pixels, generating a binary mask image from the image, the binary mask image identifying a plurality of target pixels from among the plurality of pixels, determining a first subset of misclassified target pixels by estimating a first boundary region and identifying a portion of target pixels that are outside of the first boundary region, and determining a second subset of misclassified target pixels by estimating a second boundary region and identifying a portion of target pixels that are within the second boundary region. 1. A method for facilitating biometric recognition , the method comprising:receiving an image, the image comprising a plurality of pixels;generating a binary mask image from the image, the binary mask image identifying a plurality of target pixels from among the plurality of pixels;determining a first subset of misclassified target pixels by estimating a first boundary region and identifying a portion of target pixels that are outside of the first boundary region; anddetermining a second subset of misclassified target pixels by estimating a second boundary region and identifying a portion of target pixels that are within the second boundary region.2. The method according to claim 1 , where in the generation of the binary mask image comprises:applying a label to each of the plurality of pixels of the image, the label identifying each of the plurality of pixels as one of a target pixel or a non-target pixel,wherein the application of the label to each of the plurality of pixels of the image is based on learned parameters; andcausing output of each of the plurality of pixels identified as the plurality of target pixels, the output being the binary mask image.3. The method according to claim 1 , wherein the determination of the first subset of misclassified pixels comprises:receiving the binary ...

MOBILE TERMINAL IRIS RECOGNITION METHOD AND DEVICE HAVING HUMAN-COMPUTER INTERACTION MECHANISM

A mobile terminal iris recognition device having a human-computer interaction mechanism, the device includes a human-computer interaction module, an image acquisition module, an iris image analysis and processing module, a feedback control module and a power supply module. Also provided is an iris recognition method utilizing the device. Compared with the related art, the method has great improvement in such aspects as miniaturization, mobility and usability, is provided with a mobile terminal iris recognition function with an active visual, tactile and auditory interaction mechanism, and also has the advantages of high accuracy of iris recognition, low power consumption, reasonable structural layout, strong interaction functions and the like. 120-. (canceled)21. An iris recognition method for mobile terminal iris recognition device , the mobile terminal iris recognition device comprising an iris image analysis and processing module for recognizing iris images as acquired or feature templates extracted from the iris images , and the method comprising following steps:a) performing similarity comparisons between the iris images or feature templates and at least one existing template of a user template library to obtain an comparison score;b) calculating the probability of the feature templates being stolen templates based on the comparison score;c) determining whether the probability exceeds a threshold, if no, proceeding to step d; and if yes, proceeding to step e;d) determining the feature templates as normal feature templates, and determining the recognition as a pass; ande) determining the feature templates as stolen templates and the recognition as abnormal.22. The iris recognition method according to claim 21 , wherein N iris images acquired from the user are compared with templates already existing in a user template library to derive corresponding comparison scores S claim 21 , and whether the corresponding iris images are stolen templates is determined ...

SYSTEM AND METHOD FOR GENERATING AND EMPLOYING SHORT LENGTH IRIS CODES

A system and method for generating compact iris representations based on a database of iris images includes providing full-length iris codes for iris images in a database, where the full-length iris code includes a plurality of portions corresponding to circumferential rings in an associated iris image. Genuine and imposter score distributions are computed for the full-length iris codes, and code portions are identified that have a contribution that provides separation between imposter and genuine distributions relative to a threshold. A correlation between remaining code portions is measured. A subset of code portions having low correlations within the subset is generated to produce a compact iris representation. 1. A computer readable storage medium comprising a computer readable program for generating compact iris representations based on a database of iris images , wherein the computer readable program when executed on a computer causes the computer to perform the steps of:computing genuine and imposter score distributions for full-length iris codes for iris images in a database, where the full-length iris codes include a plurality of portions corresponding to circumferential rings in an associated iris image;identifying and retaining code portions that have a contribution that provides separation between imposter and genuine distributions relative to a threshold;measuring a correlation between remaining code portions; andgenerating a subset of the remaining code portions having low correlations within the subset to produce a compact iris representation.2. The computer readable storage medium as recited in claim 1 , further comprising determining parameters of a full length iris code to compact iris code transform by generating an all-aligned-pairs set.3. The computer readable storage medium as recited in claim 2 , wherein identifying code portions includes computing a Hamming distance for all rows in an aligned code where a minimum Hamming distance is used as a ...

PERSON IDENTIFICATION USING OCULAR BIOMETRICS WITH LIVENESS DETECTION

A method of assessing the identity of a person by one or more of: internal non-visible anatomical structure of an eye represented by the Oculomotor Plant Characteristics (OPC), brain performance represented by the Complex Eye Movement patterns (CEM), iris patterns, and periocular information. In some embodiments, a method of making a biometric assessment includes measuring eye movement of a subject, making an assessment of whether the subject is alive based on the measured eye movement, and assessing a person's identity based at least in part on the assessment of whether the subject is alive. In some embodiments, a method of making a biometric assessment includes measuring eye movement of a subject, assessing characteristics from the measured eye movement, and assessing a state of the subject based on the assessed characteristics.

MULTISPECTRAL EYE ANALYSIS FOR IDENTITY AUTHENTICATION

Certain aspects relate to systems and techniques for generating high resolution iris templates and for detecting spoofs, enabling more reliable and secure iris authentication. Pairs of RGB and NIR images can be captured by the iris authentication system for use in iris authentication, for example using an NIR LED flash and a four-channel image sensor. Multiple images of the user's iris can be captured by the system in a relatively short period of time and can be fused together to generate a high resolution iris image that can contain more detail of the iris structure and unique pattern than each individual images. The “liveness” of the iris, referring to whether the iris is a real human iris or an iris imitation, can be assessed via a liveness ratio based on comparison of known iris and sclera reflectance properties at various wavelengths to determined sensor responses at those same wavelengths.

MULTISPECTRAL EYE ANALYSIS FOR IDENTITY AUTHENTICATION

Certain aspects relate to systems and techniques for generating high resolution iris templates and for detecting spoofs, enabling more reliable and secure iris authentication. Pairs of RGB and NIR images can be captured by the iris authentication system for use in iris authentication, for example using an NIR LED flash and a four-channel image sensor. Multiple images of the user's iris can be captured by the system in a relatively short period of time and can be fused together to generate a high resolution iris image that can contain more detail of the iris structure and unique pattern than each individual images. The “liveness” of the iris, referring to whether the iris is a real human iris or an iris imitation, can be assessed via a liveness ratio based on comparison of known iris and sclera reflectance properties at various wavelengths to determined sensor responses at those same wavelengths.

METHODS AND SYSTEMS FOR WEARABLE COMPUTING DEVICE

A wearable device that can provide images via a display located within two inches and in view of a human eye in association with headgear, and can biometrically authenticate an authorized user based on at least one of a user's eye. The wearable device can access a data network and determine a user's location. An authorized user can be provided with data based on the user's identity and location as determined by a wearable device. The location of a user within a venue can be determined using radio frequency transponders in communication with a wearable device and authenticating the user via biometric attributes of a user's eye as captured by a imaging device associated with the wearable device. Sensitive data can be managed in association with a patient based on health provider authentication and identity of a transponder used in association with the patient. 1authenticating a user of a wearable device via at least one biometric associated with said user and via a biometric scanner associated with said wearable device; anddisplaying data and/or providing services via a user interface of said wearable device, in response to authenticating said user via said biometric scanner.. A method for providing data and/or services to wearable devices, said method comprising: This patent application claims the benefit under 35 U.S.C. §119(e) of U.S. Provisional Application Ser. No. 62/024,734 entitled, “METHODS AND SYSTEMS FOR WEARABLE COMPUTING DEVICE,” which was filed on Jul. 15, 2014 and is incorporated herein by reference in its entirety.Embodiments are generally related to wearable computing devices, such as, for example, digital glasses, virtual reality goggles, electro-optical systems used in association with eyewear. Embodiments are additionally related to the field of wireless communications including the use of venue-based transponders and user authentication.Wearable computing devices (“wearable devices”) come in a variety of implementations and configurations. For ...

DEEP NEURAL NETWORK FOR IRIS IDENTIFICATION

Systems and methods for iris authentication are disclosed. In one aspect, a deep neural network (DNN) with a triplet network architecture can be trained to learn an embedding (e.g., another DNN) that maps from the higher dimensional eye image space to a lower dimensional embedding space. The DNN can be trained with segmented iris images or images of the periocular region of the eye (including the eye and portions around the eye such as eyelids, eyebrows, eyelashes, and skin surrounding the eye). With the triplet network architecture, an embedding space representation (ESR) of a person's eye image can be closer to the ESRs of the person's other eye images than it is to the ESR of another person's eye image. In another aspect, to authenticate a user as an authorized user, an ESR of the user's eye image can be sufficiently close to an ESR of the authorized user's eye image. 1. A wearable display system comprising:a display;an image capture device configured to capture a first image of an eye of a user; [ wherein the embedding is learned using a deep neural network with a triplet network architecture,', 'wherein the deep neural network is configured to learn the embedding from eye images of a plurality of persons, and', 'wherein a distance in the embedding space representation for eye images from the same person is smaller than a distance in the embedding space representation for eye images from different persons,, 'an embedding for processing the first image of the eye,'}, 'a classifier for processing the processed first image of the eye, and executable instructions; and, 'non-transitory memory configured to store receive the first image of the eye;', 'process the first image of the eye using the embedding to generate an embedding space representation;', 'process the embedding space representation using the classifier to calculate a likelihood score that the first image of the eye is an image of an eye of an authorized user; and', 'grant or deny the user access to the ...

EYE GAZE AUTHENTICATION

According to an example of the present disclosure, an image collection is loaded. At least one image property of the image collection is randomized, and the image collection is displayed. A registered sequence of images is accessed. At least one eye gaze and at least one eye gaze time interval are captured. A selection sequence of images in the randomized image collection is determined based on the at least one eye gaze and the at least one eye gaze time interval, and a further determination is made as to whether the selection sequence of the images in the randomized image collection matches the registered sequence of images. 1. A method of user authentication based on eye gaze comprising:loading, using a processor, an image collection from a memory;randomizing, using the processor, at least one property of the image collection;displaying, using a display, the randomized image collection;accessing, using the processor, a registered sequence of images;capturing, using a camera coupled to the display, at least one eye gaze and at least one eye gaze time interval; anddetermining, using the processor, a selection sequence of images in the randomized image collection based on the at least one eye gaze and the at least one eye gaze time interval, and further determining when the selection sequence of the images in the randomized image collection matches the registered sequence of images.2. The method of wherein claim 1 , in response to the selection sequence of the images in the randomized image collection matching the registered sequence of images claim 1 , the method further comprises authenticating the user.3. The method of wherein claim 1 , in response to the selection sequence of the images in the randomized image collection matching the registered sequence of images claim 1 , the method further comprises prompting for a second form of authentication.4. The method of claim 1 , wherein the image property is at least one of an image size and an image orientation.5. The ...

IRIS BOUNDARY ESTIMATION USING CORNEA CURVATURE

Examples of systems and methods for determining a limbic boundary of an iris of an eye are provided. Properties of the corneal bulge can be computed from eye images. An intersection of the corneal bulge with the eye surface (e.g., sclera) can be determined as the limbic boundary. The determined limbic boundary can be used for iris segmentation or biometric applications. A head mounted display can include a camera that images the eye and a processor that analyzes the eye images and determines the limbic boundary. 1. A wearable display system comprising:a display;an image capture device configured to capture an image of an eye of a user;non-transitory memory configured to store executable instructions; and obtain a camera calibration;', a radius of a corneal sphere comprising a cornea of the eye,', 'a radius of an iris of the eye, and', 'a distance between a center of the corneal sphere and a center of a pupil of the eye;, 'obtain physiological parameters of the eye in a three-dimensional coordinate frame of the eye, wherein the physiological parameters comprise, 'receive the image of the eye, the image comprising at least a portion of the cornea of the eye and the iris of the eye;', 'determine an intersection between the corneal sphere and the eye;', 'convert, based at least in part on the camera calibration, the intersection from the coordinate frame of the eye to a coordinate frame of the image of the eye;', 'determine the limbic boundary based at least in part on the intersection; and', 'utilize the limbic boundary in a biometric application., 'a hardware processor in communication with the display, the image capture device, and the non-transitory memory, the hardware processor programmed by the executable instructions to2. The wearable display system of claim 1 , wherein the camera calibration comprises a relationship between a camera coordinate frame and the coordinate frame of the eye.3. The wearable display system of claim 1 , wherein the camera calibration ...

METHOD AND APPARATUS FOR IRIS RECOGNITION

An apparatus for recognizing an iris is provided. The apparatus includes an image acquisition module configured to acquire a plurality of images, and a processor configured to select at least one image for iris recognition from among the plurality of images based on pupil information of each of the plurality of images, and recognize an iris in at least one image, wherein the pupil information includes at least one of information about a pupil radius and information about a pupil contrast. 1. An apparatus for recognizing an iris , the apparatus comprising:an image acquisition module configured to acquire a plurality of images; and select at least one image for iris recognition from among the plurality of images based on pupil information of each of the plurality of images, and', 'recognize an iris in the at least one image,, 'a processor configured towherein the pupil information comprises a pupil radius information and a pupil contrast information.2. The apparatus of claim 1 , wherein the processor is further configured to:generate an ellipse that approximates each of at least one light region included in each of the plurality of images,determine a pupil glare area based on at least one of an axial ratio, an area, and a contrast of the ellipse,determine a boundary of a pupil and the iris in the pupil glare area, anddetermine a pupil center information and the pupil radius information based on the boundary.3. The apparatus of claim 1 , wherein the processor is further configured to select the at least one image based on at least one of position information of an eye area claim 1 , brightness information of the eye area claim 1 , and contrast information of the eye area.4. The apparatus of claim 1 , wherein the processor is further configured to select the at least one image based on eyelid opening distance information that is determined as a length of a shortest vertical line among vertical lines that start from an arbitrary horizontal coordinate in an area ...

ORGANIC LIGHT EMITTING DISPLAY DEVICE AND HEAD MOUNTED DISPLAY SYSTEM HAVING THE SAME

A head mounted display system includes an infrared sensor generating an infrared image, an image processor measuring a position of a user pupil based on the infrared image and generating image source based on the position of the user pupil, and an organic light emitting display device displaying an image corresponding to the image source. The organic light emitting display device includes a display panel and a panel driver. The display panel includes a plurality of infrared pixels disposed in an infrared emission region, the infrared pixels emitting infrared light, and a plurality of display pixels disposed in a display region, the display pixels emitting visible light. The panel driver provides driving signals to the infrared pixels and the display pixels. 1. A head mounted display system comprising:an infrared sensor configured to generate an infrared image;an image processor configured to measure a position of a user pupil based on the infrared image and configured to generate image source based on the position of the user pupil; andan organic light emitting display device configured to display an image corresponding to the image source,wherein the organic light emitting display device includes:a display panel including a plurality of infrared pixels disposed in an infrared emission region, the infrared pixels configured to emit infrared light, and a plurality of display pixels disposed in a display region, the display pixels configured to emit visible light; anda panel driver configured to provide driving signals to the infrared pixels and the display pixels.2. The head mounted display system of claim 1 , wherein the display pixels includes red color pixels configured to emit red color light claim 1 , andwherein a first emission layer included in each of the infrared pixels includes substantially a same material as a second emission layer included in each of the red color pixels.3. The head mounted display system of claim 2 , wherein a thickness of the first ...

MULTIFOCAL IRIS RECOGNITION DEVICE

An exemplary iris-recognition method includes capturing a raw light field photograph of a face including an eye, locating the eye within the raw light field photograph, and rendering, from the raw light field photograph, an image focused on the eye. The image may include an eye portion including the eye. The method may further include extracting an iris template from the eye portion, determining a degree of match between the template and an authorized iris template, and performing an action in response to the degree of match.

Method for Iris Recognition and Related Products

A method for iris recognition performed by related products includes the following. An iris recognition assembly of the terminal device acquires a first iris image. Thereafter, a processor removes a target eyelash image from the first iris image according to an eyelash image template stored in a memory to obtain a second iris image, and utilizes the second iris image to carry out iris recognition. 1. A terminal device , comprising:an iris recognition assembly, configured to acquire a first iris image, the first iris image comprising a target eyelash image;a memory, configured to store an eyelash image template; anda processor, coupled with the iris recognition assembly and the memory, configured to remove the target eyelash image from the first iris image according to the eyelash image template to obtain a second iris image, and carry out iris recognition according to the second iris image.2. The terminal device of claim 1 , wherein the processor configured to remove the target eyelash image from the first iris image according to the eyelash image template to obtain the second iris image is configured to:determine whether the target eyelash image is matched with the eyelash image template; andremove the target eyelash image from the first iris image to obtain the second iris image, in response to a determination that the target eyelash image is matched with the eyelash image template.3. The terminal device of claim 2 , whereinthe iris recognition assembly is further configured to acquire N iris images of a user when the terminal device is in an awake state, N being a positive integer greater than 1; andthe processor is further configured to extract M eyelash images from the N iris images and obtain the eyelash image template according to the M eyelash images and a plurality of weight values, M being a positive integer smaller than or equal to N.4. The terminal device of claim 1 , wherein the iris recognition assembly configured to acquire the first iris image is ...

Method for Iris Recognition and Related Products

A method for iris recognition performed by related products includes the following. A mobile terminal collects a target black-and-white iris image through an iris camera and collects a target color iris image through a front camera, when an iris collecting instruction is received. The target color iris image is displayed in an iris recognition area of a display screen, where the target color iris image is configured to hint a user that the mobile terminal is performing iris recognition. The target black-and-white iris image is processed for iris recognition. 1. A method for iris recognition , comprising:collecting a target black-and-white iris image through an iris camera and collecting a target color iris image through a front camera, when an iris collecting instruction is received;displaying the target color iris image in an iris recognition area of a display screen, wherein the target color iris image is configured to hint a user that a mobile terminal is performing iris recognition; andprocessing the target black-and-white iris image for iris recognition.3. The method of claim 1 , wherein the collecting the target color iris image through the front camera comprises:capturing a first color iris image through the front camera when a visible flashlight is at a first power, and a second color iris image through the front camera when the visible flashlight is at a second power, wherein the first power is different from the second power;determining whether a first absolute value of a difference between an eyeball area ratio in the first color iris image and an eyeball area ratio in the second color iris image is greater than a first preset threshold; anddetermining an image with a larger eyeball area ratio from the first color iris image and the second color iris image as the target color iris image based on a determination that the first absolute value is greater than the first preset threshold.4. The method of claim 3 , further comprising:after the determining ...

IMAGE PICKUP APPARATUS,AUTHENTICATION APPARATUS, AND IMAGE PICKUP METHOD

A mobile information terminal includes an emitted-light polarizing filter having a transmission axis in a first direction, a received-light polarizing filter having a transmission axis in a second direction, an infrared light source emitting near infrared light through the emitted-light polarizing filter, and an image pickup section receiving reflected light generated when the near infrared light is reflected off an object, through the received-light polarizing filter. The second direction has such an angle determined with respect to the first direction that the received-light polarizing filter blocks at least part of light having a polarization property in the reflected light. 1. An image pickup apparatus comprising:a first polarizing element having a transmission axis in a first direction;a second polarizing element having a transmission axis in a second direction different from the first direction;a light source configured to emit near infrared light through the first polarizing element; anda light-receiving element configured to receive reflected light generated upon reflection of the near infrared light off an object, through the second polarizing element;the second direction having such an angle determined with respect to the first direction that the second polarizing element blocks at least part of light having a polarization property in the reflected light.2. The image pickup apparatus according to claim 1 , wherein the first direction and the second direction are substantially orthogonal or orthogonal to each other.3. The image pickup apparatus according to claim 2 , wherein:the first polarizing element and the second polarizing element are aligned in an arrangement direction in a front view of the first polarizing element and the second polarizing element; andthe first direction is parallel with the arrangement direction.4. An image pickup apparatus comprising:first polarizing elements of a plurality of types having transmission axes in mutually different ...

METHOD OF DETECTING FRAUD DURING IRIS RECOGNITION

A method of detecting fraud during identification by iris recognition, the method comprising the following steps: 1. A method of detecting fraud during identification by iris recognition , the method comprising the following steps:capturing an image of each iris of a person for identification, namely a first image and a second image;extracting a first set of first characteristics from the first image;extracting a second set of second characteristics from the second image;evaluating a correlation coefficient between the first and second characteristics; andas a function of the value of the correlation coefficient, signaling an attempt at fraud or continuing with identification by iris recognition.2. The method according to claim 1 , wherein the extraction of the first set of first characteristics claim 1 , and/or the extraction of the second set of second characteristics is followed by a step of evaluating correlations with said set of characteristics.3. The method according to claim 2 , wherein the step of evaluating the correlations within said set of characteristics comprises a step of evaluating the correlation between the characteristics of two regions of the image claim 2 , the regions being angularly offset relative to an estimated center of the iris.4. The method according to claim 2 , wherein the step of evaluating correlations within said set of first characteristics comprises evaluating correlations of characteristics situated in a common direction passing through an estimated center of the iris.5. The method according to claim 1 , wherein:extracting the first set of first characteristics comprises a step of evaluating correlations within the first set of first characteristics and of selecting a first subset of first characteristics for which the correlation coefficient is greater than a first predetermined value; andextracting the second set of second characteristics comprises a step of evaluating correlations within the second set of second ...

METHOD AND MOBILE TERMINAL FOR PROCESSING IMAGE AND STORAGE MEDIUM

Disclosed are a method and mobile terminal for processing an image and storage medium. The method includes collecting color information of a target object; determining at least one of multiple pre-stored compensation parameters as at least one compensation parameter corresponding to the color information; and during iris collection, compensating an iris based on the at least one target compensation parameter to obtain a color iris image. 1. A method for processing an image , comprising:collecting color information of a target object;determining at least one of a plurality of pre-stored compensation parameters as at least one compensation parameter corresponding to the color information; andcompensating, during iris collection for the target object, an iris based on the at least one target compensation parameter to obtain a color iris image.2. The method as claimed in claim 1 , wherein the determining at least one of a plurality of pre-stored compensation parameters as at least one compensation parameter corresponding to the color information comprises:analyzing the color information to obtain abnormal color information;determining a target characterization color corresponding to the abnormal color information, the target characterization color indicating real color information of a region of the target object having the abnormal color information; anddetermining at least one of the plurality of compensation parameters as at least one compensation parameter corresponding to the target characterization color according to predetermined correspondences between characterization colors and compensation parameters.3. The method as claimed in claim 1 , wherein the compensating claim 1 , during iris collection claim 1 , an iris based on the at least one target compensation parameter to obtain a color iris image comprises:performing, by a visible light camera, image collection on the target object according to the at least one target compensation parameter to obtain a visible ...

IRIS-BASED LIVING-BODY DETECTION METHOD, MOBILE TERMINAL AND STORAGE MEDIUM

Disclosed are an iris-based living-body detection method, a mobile terminal and a storage medium. According to the method, in response to detection of the mobile terminal being lifted, the touch display screen is lighted, and the touch display screen is controlled to display preset guide content, the preset guide content is used to guide eyes watching the touch display screen to move; the iris recognition apparatus is notified to perform iris acquisition for a target object associated with the eyes, to obtain a plurality of iris images; and it is determined whether the target object is a living body with the plurality of iris images. 1. An iris-based living-body detection method , executed by a mobile terminal comprising a touch display screen and an iris recognition apparatus , the method comprising: in response to detection of the mobile terminal being lifted ,lighting the touch display screen, and controlling the touch display screen to display preset guide content, wherein the preset guide content is used to guide eyes watching the touch display screen to move;notifying the iris recognition apparatus to perform iris acquisition for a target object associated with the eyes, to obtain a plurality of iris images; anddetermining whether the target object is a living body with the plurality of iris images.2. The method according to claim 1 , wherein determining whether the target object is a living body with the plurality of iris images comprises:determining a constriction change rate of a pupil with the plurality of iris images, andconfirming that the target object is a living body, when the constriction change rate is within a preset range.3. The method according to claim 2 , wherein determining the constriction change rate of a pupil with the plurality of iris images comprises:determining an area of the pupil for each of the plurality of iris images successively in shooting time sequence, to obtain a plurality of area values; anddetermining change rates between ...

VIRTUAL AND AUGMENTED REALITY SYSTEMS AND METHODS HAVING UNEQUAL NUMBERS OF COMPONENT COLOR IMAGES DISTRIBUTED ACROSS DEPTH PLANES

Images perceived to be substantially full color or multi-colored may be formed using component color images that are distributed in unequal numbers across a plurality of depth planes. The distribution of component color images across the depth planes may vary based on color. In some embodiments, a display system includes a stack of waveguides that each output light of a particular color, with some colors having fewer numbers of associated waveguides than other colors. The stack of waveguides may include by multiple pluralities (e.g., first and second pluralities) of waveguides, each configured to produce an image by outputting light corresponding to a particular color. The total number of waveguides in the second plurality of waveguides is less than the total number of waveguides in the first plurality of waveguides, and may be more than the total number of waveguides in a third plurality of waveguides, in embodiments where three component colors are utilized. 120-. (canceled)21. A display system comprising: a first plurality of diffractive optical elements configured to outcouple light of a first wavelength range to produce a first plurality of component color images, each image set on one of X maximum possible depth planes for the first plurality of diffractive optical elements;', 'a second plurality of diffractive optical elements configured to outcouple light of a second wavelength range to produce a second plurality of component color images, each image set on one of Y maximum possible depth planes for the second plurality of diffractive optical elements; and', 'a third plurality of diffractive optical elements configured to outcouple light of a third wavelength range to produce a third plurality of component color images, each image set on one of Z maximum possible depth planes for the third plurality of diffractive optical elements,', 'wherein X, Y, and Z are whole numbers and wherein X, Y, and Z are different., 'one or more waveguides comprising22. The ...

Method and Apparatus for Managing Blinking

A method and apparatus for managing blinking includes an electronic computing device detecting blinking of a user of the electronic computing device and determining an uninduced blink rate for the user from the detected blinking. The method also includes inducing the user to blink based on the uninduced blink rate. A further method and apparatus for managing blinking includes the electronic computing device presenting the user with a blink inducement of a plurality of blink inducements and determining whether the user blinked in response to presenting the blink inducement. The further method also includes presenting the blink inducement again based on the determination of whether the user blinked in response to presenting the blink inducement. 1. A method performed by an electronic computing device for managing blinking , the method comprising:detecting blinking of a user of the electronic computing device;determining, from the detected blinking, an uninduced blink rate for the user; andinducing the user to blink based on the uninduced blink rate.2. The method of claim 1 , wherein inducing the user to blink based on the uninduced blink rate comprises:comparing the uninduced blink rate to a threshold blink rate; andinducing the user to blink when the uninduced blink rate is below the threshold blink rate.3. The method of claim 2 , wherein inducing the user to blink comprises presenting the user with a set of blink inducements.4. The method of claim 3 , wherein blink inducements of the set of blink inducements are presented to the user at a presented inducement rate.5. The method of claim 4 , wherein the presented inducement rate is greater than or equal to a difference between the threshold blink rate and the uninduced blink rate.6. The method of further comprising determining an induced blink rate from the presented inducement rate claim 4 , wherein the presented inducement rate is adjusted based on the induced blink rate so that the induced blink rate is greater ...

AUTOMATIC FUNDUS IMAGE CAPTURE SYSTEM

A system automatically captures a fundus image with limited user interaction such that the fundus image has one or more desired characteristics. The system can retrieve at least one image from an image capture device, process the at least one image digitally to generate a processed image, detect at least one point of interest in the processed image, determine that each of the at least one point of interest is representative of a corresponding feature of the eye, and obtain a fundus image of the eye based on the at least one image. 1. A method of automatically capturing a fundus image of an eye , the method comprising:retrieving at least one first image from an image sensor device;processing, using at least one computing device, the at least one first image digitally to generate a processed image;detecting at least one point of interest in the processed image;determining that each of the at least one point of interest is representative of a corresponding feature of the eye; andobtaining the fundus image of the eye based on the at least one first image.2. The method of claim 1 , wherein processing the at least one first image comprises at least one of:downsampling the at least one first image;converting the at least one first image into at least one monochromatic image; andmasking the at least one first image.3. The method of claim 2 , wherein the masking is calculated on an image that is scaled claim 2 , cropped claim 2 , and grayscaled.4. The method of claim 2 , wherein processing the at least one first image further comprises:processing the at least one first image for scaling and calculating absolute values of array element associated with the at least one first image to generate a result, and converting the result to unsigned 8 bit;calculating a mean and standard deviation of the array elements associated with the at least one first image;calculating a slope of the mean; anddetermining the mean, standard deviation, and slope are within a predetermined range.5. ...

Information processing apparatus, information processing method, and program

An information processing apparatus according to an embodiment of the present technology includes an acquisition section and a processor. The acquisition section acquires eye information regarding an eye of a user. The processor determines a first line-of-sight direction on the basis of the eye information using a first method, determines a second line-of-sight direction on the basis of the eye information using a second method that is different from the first method, calculates reliability information regarding at least one of reliability of the first line-of-sight direction or reliability of the second line-of-sight direction, and determines a line-of-sight direction of the user on the calculated reliability information.

METHOD FOR EXTRACTING A FEATURE VECTOR FROM AN INPUT IMAGE REPRESENTATIVE OF AN IRIS BY MEANS OF AN END-TO-END TRAINABLE NEURAL NETWORK

The present invention relates to a method for extracting a feature vector from an input image representative of an iris by means of a neural network, characterized in that it can be trained end-to-end and comprises the implementation by data-processing means of a client of steps of: 1. A method for extracting a feature vector from an input image representative of an iris by means of a neural network , characterized in that it can be trained end-to-end and comprises the implementation by data-processing means of a client of steps of:(a) Segmentation of the input image representative of the iris by means of a first subnetwork of the neural network in order to obtain an iris segmentation map, a pupil segmentation map and an attention map;(b) Extraction by a second subnetwork of the neural network of a feature vector from the normalized image representative of the iris segmented by a normalization operation, characterized in that it is derivable.2. The method according to claim 1 , wherein the normalization operation further comprises implementing steps of:Multiplying the input image representative of the iris by the attention map determined during the segmentation step, said attention map making it possible to mask the information not related to the iris in the input image representative of the iris;Estimating the centroid of the iris from the pupil segmentation map determined during the segmentation step;Estimating the radius of the iris, respectively of the pupil, from the iris segmentation map and the pupil segmentation map, respectively, determined during the segmentation step;Applying a polar transformation in order to represent the iris in the form of a rectangle of fixed size;These steps being characterized in that they can be derived mathematically.3. The method according to claim 2 , wherein estimating the centroid of the iris comprises calculating a weighted average of the values of the pixels of the pupil segmentation map in order to obtain the coordinates ...

IMAGE ACQUISITION METHOD, APPARATUS, SYSTEM, AND ELECTRONIC DEVICE

The present disclosure provides image acquisition methods, apparatuses, systems and electronic devices. One image acquisition method includes: acquiring an initial face image of a user by a first image acquisition apparatus; controlling a second image acquisition apparatus to acquire an eye print image of the user according to an acquisition parameter, the acquisition parameter being determined based on the initial face image; and synthesizing the initial face image and the eye print image into a target face image of the user. 1. An image acquisition method , comprising:acquiring an initial face image of a user by a first image acquisition apparatus;controlling a second image acquisition apparatus to acquire an eye print image of the user according to an acquisition parameter, the acquisition parameter being determined based on the initial face image; andsynthesizing the initial face image and the eye print image into a target face image of the user.2. The method of claim 1 , wherein the controlling a second image acquisition apparatus to acquire an eye print image of the user comprises:determining the acquisition parameter based on the initial face image of the user; andcontrolling the second image acquisition apparatus to acquire the eye print image of the user based on the acquisition parameter.3. The method of claim 2 , wherein the determining the acquisition parameter based on the initial face image of the user comprises:determining eye region spatial location information of the user based on the initial face image of the user; anddetermining the acquisition parameter based on the eye region spatial location information of the user.4. The method of claim 1 , wherein the controlling a second image acquisition apparatus to acquire an eye print image of the user comprises:controlling the second image acquisition apparatus to acquire an eye region image of the user according to the acquisition parameter; andsegmenting the eye region image using a full convolutional ...

METHOD AND APPARATUS FOR USE IN PREVIEWING DURING IRIS RECOGNITION PROCESS

Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for preview in iris recognition are provided. One of the methods includes: obtaining an iris image and a facial image of a user; determining a preview image corresponding to the iris image based on the facial image; and displaying the determined preview image. 1. An image preview method , comprising:obtaining an iris image and a facial image of a user;determining a preview image corresponding to the iris image based on the facial image; anddisplaying the determined preview image.2. The method of claim 1 , wherein determining the preview image corresponding to the iris image based on the facial image comprises:performing image processing on the facial image; and the image processing comprises at least one of image parameter adjustment processing and image content retouching processing;', 'the image parameter adjustment processing comprises at least one of cropping, rotation, translation, zooming, scaling, color adjustment, grayscale value adjustment, and contrast adjustment; and', 'the image content retouching processing comprises at least one of portrait enhancement, image stylization, and special visual effect., 'determining the processed facial image as the preview image corresponding to the iris image, wherein3. The method of claim 2 , wherein the obtaining an iris image and a facial image of a user comprises:obtaining the iris image by a first camera, and obtaining the facial image by a second camera, wherein the first camera and the second camera are on a same device and have a relative positional relationship configured to obtain images of the user from a same direction.4. The method of claim 3 , wherein the performing image processing on the facial image comprises:performing the image processing on the facial image according to at least one of:the iris image, information of the first camera, information of the second camera, and information of the relative ...

MIRROR ASSEMBLY INCORPORATING A SCANNING APPARATUS

A scanning apparatus for a vehicle comprises a display housing comprising a display device forming a display plane and a support housing in supportive connection with the display housing. The support housing is in connection with a connection surface of a portion of the vehicle and forms an interior cavity extending substantially perpendicular from the connection surface. A first PCB is disposed in the interior cavity, wherein the first PCB comprises a plurality of planar faces terminating at a plurality of edges. The planar faces extend substantially perpendicular to the connection surface. 1. A scanning apparatus for a vehicle configured to process a biometric scanning operation , the apparatus comprising:a display housing comprising a display device forming a display plane;a support housing in supportive connection with the display housing, wherein the support housing is in connection with a connection surface of a portion of the vehicle and forms an interior cavity extending substantially perpendicular from the connection surface; anda first PCB disposed in the interior cavity, wherein the first PCB comprises a plurality of planar faces terminating at a plurality of edges, wherein the planar faces extend substantially perpendicular to the connection surface.2. The apparatus according to claim 1 , further comprising a connection interface adjustably connecting the display housing to the support housing.3. The apparatus according to claim 2 , wherein connection interface comprises a ball and socket connection.4. The apparatus according to claim 3 , further comprising:an image sensor disposed in the display housing and in communication with a second PCB, wherein the image sensor is configured to capture biometric data for the biometric scanning operation.5. The apparatus according to claim 4 , wherein the first PCB comprises a controller in communication with the image sensor via a communication interface.6. The apparatus according to claim 5 , wherein the ...

BIOMETRIC IMAGING SYSTEM AND METHOD OF DETERMINING PROPERTIES OF A BIOMETRIC OBJECT USING THE BIOMETRIC IMAGING SYSTEM

There is provided a biometric imaging system comprising a display panel. The display panel in turn comprises: a plurality of display pixels configured to emit visible light and controllable to form an image in the display; and a plurality of non-visible light emitting elements configured to emit linearly polarized non-visible light; a camera configured to receive polarized non-visible light having an orientation which is rotated with respect to the emitted linearly polarized light; and control circuitry configured to: activate the plurality of non-visible light emitting elements to emit linearly polarized light towards a biometric object; and control the camera to capture an image based on light reflected by the biometric object having a polarization which is rotated with respect to the emitted linearly polarized light. 1. A biometric imaging system comprising:a display panel comprising a plurality of display pixels configured to emit visible light and controllable to form an image in the display, and a plurality of non-visible light emitting elements configured to emit linearly polarized non-visible light;a camera configured to receive polarized non-visible light having an orientation which is rotated with respect to the emitted linearly polarized light; and activate the plurality of non-visible light emitting elements to emit linearly polarized light towards a biometric object, the biometric object being an eye; and', 'control the camera to capture an image based on light reflected by the biometric object having a polarization which is rotated with respect to the emitted linearly polarized light; and', 'determine if the biometric object belongs to a real person based on birefringent properties of the biometric object observed in the captured image., 'control circuitry configured to2. The biometric imaging system according to claim 1 , wherein the camera is configured to receive polarized non-visible light having a 90° rotation with respect to the emitted linearly ...