СПОСОБ И СИСТЕМА ВЫБОРА 3-D УСТРОЙСТВА ИНТЕРФЕЙСА ПАЦИЕНТА

Группа изобретений относится к системе выбора устройств интерфейса пациента, которая использует 3-D модели. Способ, в котором: создают 3-D модель лица пациента, а также каждого из лиц; и предоставляют 3-D модель лица пациента системе выбора устройства интерфейса пациента; предоставляют 3-D модели лиц системе выбора устройства интерфейса пациента. При этом система содержит: базу данных геометрических показателей подгонки, выполненную с возможностью хранения 3-D моделей лиц и предварительно вычисленного геометрического показателя подгонки для каждого из устройств интерфейса пациента для каждого из лиц; и первый блок обработки, выполненный с возможностью приема 3-D модели лица пациента и определения геометрического показателя подгонки для каждого из устройств интерфейса пациента для лица пациента, причем первый блок обработки содержит: блок поиска совпадения, выполненный с возможностью сопоставления 3-D модели лица пациента с хранящихся 3-D моделей лиц и использования предварительно вычисленного ...

Системы и способы для аутентификации пользователя на основании биометрических данных и данных устройства

Изобретение относится к области вычислительной техники. Техническим результатом является обеспечение аутентификации пользователя. Раскрыта система контроллера данных (DC) для аутентификации пользователя, содержащая одно или более вычислительных устройств контроллера данных (DC), причем одно или более вычислительных устройств DC содержат по меньшей мере один процессор и память, при этом одно или более вычислительных устройств DC выполнены с возможностью: принимать, как часть процесса регистрации пользователя для цифрового кошелька, первые данные криптографического ключа, включающие в себя зашифрованные биометрические данные на устройстве, первый идентификатор устройства и первый идентификатор счета; сохранять первые данные криптографического ключа в базе данных, которая находится на связи с упомянутыми одним или более вычислительными устройствами DC, в качестве исторических данных криптографического ключа; принимать сообщение запроса аутентификации для платежной транзакции, включающей в ...

СПОСОБ И УСТРОЙСТВО ДЛЯ РЕКОМЕНДАЦИИ ОБЛАЧНОЙ КАРТЫ

Изобретение относится к области компьютерных технологий. Технический результат – повышение точности при рекомендации облачной карты контактному субъекту. Способ для рекомендации облачной карты содержит этапы, на которых: получают облачную карту первого контактного субъекта и контактную информацию, сохраненную в терминале второго контактного субъекта, причем облачная карта содержит фотографию и контактная информация содержит контактную фотографию; сравнивают фотографию из облачной карты с контактной фотографией, при этом сравнение фотографии из облачной карты с контактной фотографией содержит этапы, на которых: вычисляют первое подобие между фотографиями; определяют то, что первое подобие достигает предварительно определенного подобия; если первое подобие достигает предварительно определенного подобия, определяют число вхождений фотографии из облачной карты или контактной фотографии в фотографиях из облачной карты и контактных фотографиях, сохраненных на сервере; и определяют то, что фотография ...

СПОСОБ И УСТРОЙСТВО ДЛЯ РАСПОЗНАВАНИЯ ОБЪЕКТА

Изобретение относится к области распознавания объекта. Техническим результатом является повышение точности распознавания объекта. Способ содержит этапы, на которых: определяют объект, который должен быть распознан; и когда предварительно заданное условие удовлетворено, локализуют и отчетливо отображают объект, который должен быть распознан; распознают текущий объект и определяют объект, который должен быть распознан; или получают информацию объекта, соответствующую параметрам времени и/или размещения, согласно предварительно сохраненной информации поведения; или принимают информацию о целевом объекте, отправленную из устройства распознавания изображений; способ дополнительно содержит этапы, на которых: принимают информацию поведения, введенную пользователем, и сохраняют информацию поведения; или автоматически записывают информацию поведения пользователя посредством синхронизации по времени, GPS-размещения или распознавания изображения, и сохраняют информацию поведения; на этапе распознавания ...

Система интеллектуального мониторинга поведения пользователя при взаимодействии с контентом

Изобретение относится к вычислительной технике. Технический результат заключается в повышении качества мониторинга поведения пользователя. Система интеллектуального мониторинга поведения пользователя при взаимодействии с контентом содержит сервер и связанные с сервером пользовательские устройства, в которой на пользовательских устройствах проводится сбор первичных данных посредством программных и аппаратных средств; извлечение поведенческих событий; агрегация данных и формирование вектора значений признаков событий; контроль нарушений пользователя сопоставлением вектора признаков с предварительно заданными на пользовательском устройстве условиями наступления событий поведения пользователя; хранение первичных данных и нарушений пользователя в базе данных сервера; сервер содержит модуль валидации видеоданных для защиты от фото- и видеоподлога; модуль предобработки данных для модуля видеоаналитики; блок контроля наступления событий по сформированному вектору признаков; блок контроля нагрузки ...

СПОСОБ СОЗДАНИЯ СИНТЕТИЧЕСКОГО ИЗОБРАЖЕНИЯ

Группа изобретений относится к способам и системам обработки изображений и создания синтетических изображений. Способ и системы включают в себя получение первого изображения и второго изображения, первую отметку времени и вторую отметку времени, причем первое изображение и второе изображение изображают общий объект. Далее производят определение действительного положения первых пикселей общего объекта и вторых пикселей общего объекта и определение информации о движении общего объекта на основе действительного положения первых пикселей общего объекта и действительного положения вторых пикселей общего объекта, первой отметки времени и второй отметки времени. Получают третье изображение и третью отметку времени, причем третье изображение изображает общий объект; определение сервером действительного положения третьих пикселей общего объекта. Кроме того, определяют сервером предполагаемого положения третьих пикселей общего объекта на основе информации о движении общего объекта, третьей отметки ...

СПОСОБ РАСПОЗНАВАНИЯ ОБРАЗА, УСТРОЙСТВО РАСПОЗНАВАНИЯ ОБРАЗОВ И КОМПЬЮТЕРНАЯ ПРОГРАММА

... 1. Способ распознавания образа в изображении, отличающийся тем, что ! разделяют (A) изображение, содержащее подлежащий распознаванию образ на области (A1-An); ! вычисляют (B) специфичные для области (A1-An) опорные значения (REF) из информации изображения тех областей, где расположены части подлежащего распознаванию образа; ! сохраняют (C) вычисленные специфичные для области опорные значения (REF) в памяти (12); ! начинают (D) поиск образа в принятых изображениях, тем самым подвергая принятое изображение: ! разделению (E) изображения на области (A1-An), ! вычислению (F) специфичных для области (A1-An) опорных значений из информации изображения областей, ! сравнению (G) вычисленных опорных значений (REF) с опорными значениями (REF), хранящимися в памяти (12), и ! индикации (H) распознанного образа, если в принятом изображении найдена часть, состоящая из смежных областей (A1-An), где опорные значения (REF) областей соответствуют с достаточной точностью хранящимся опорным значениям (REF).

ОПРЕДЕЛЕНИЕ КОЛИЧЕСТВЕННЫХ ПОКАЗАТЕЛЕЙ ДЛЯ ПОЛОЖЕНИЯ С ИСПОЛЬЗОВАНИЕМ КАДРОВ, КЛАССИФИЦИРОВАННЫХ ПОСРЕДСТВОМ АССОЦИАТИВНОЙ ПАМЯТИ

САМОРАСПОЗНАВАНИЕ АВТОНОМНЫХ ТРАНСПОРТНЫХ СРЕДСТВ В ЗЕРКАЛЬНЫХ ИЛИ ОТРАЖАЮЩИХ ПОВЕРХНОСТЯХ

СПОСОБ И ТЕРМИНАЛ СОПОСТАВЛЕНИЯ ИЗОБРАЖЕНИЙ ПО АДРЕСНОЙ КНИГЕ

СПОСОБ УПРАВЛЕНИЯ УСТРОЙСТВОМ ОБРАБОТКИ ИЗОБРАЖЕНИЯ

Система и связанный способ измерения оптических характеристик листа стекла на технологической линии

СИСТЕМА И СПОСОБ БИОМЕТРИЧЕСКОЙ АУТЕНТИФИКАЦИИ ПО БЕСПРОВОДНОЙ СЕТИ

Entfernungssystem für die Entfernung von Bearbeitungsspänen und Bearbeitungssystem

Bearbeitungssystem, bei dem Späne zuverlässig ohne manuellen Eingriff entfernt werden. Das Bearbeitungssystem ist mit einem Bildverarbeitungsteil, der durch Vergleich von Bildern, die durch Aufnahme eines Werkstücks und eines Bearbeitungswerkzeugs vor und nach Bearbeitungsbeginn gewonnen werden, die Menge und Position von Spänen nachweist, einem Zustandsbeurteilungsteil, der anhand der nachgewiesenen Menge und Position von Spänen prüft, ob Späne entfernt werden müssen, und mit einem Ergebnisbeurteilungsteil, der durch Vergleich von Bildern, die durch Aufnahme des Bearbeitungswerkzeugs und des Werkstücks vor und nach einem Entfernungsvorgang gewonnen werden, das Ergebnis des Entfernungsvorgangs beurteilt, versehen.

System zur automatischen Erkennung von Pflanzen

System (10) zur automatischen Erkennung von Pflanzen, mit wenigstens einer zentralen Servereinheit (12), wenigstens einem Netzwerk (14), wenigstens einer automatischen Bildverarbeitungseinheit (16), wenigstens einer Pflanzendatenbankeinheit (18), in der Pflanzendaten eingespeichert sind, wenigstens einer Bilddatenbankeinheit (20), in der Bilddaten betreffend Pflanzen eingespeichert sind, und mit wenigstens einem mobilen Endgerät (26, 28) mit wenigstens einer Kamera, wobei die zentrale Servereinheit (12) über das Netzwerk (14) mit dem mobilen Endgerät (26, 28) im Betriebszustand in Datenverbindung ist, wobei mittels der Kamera des Endgeräts (26, 28) Bilddaten einer Pflanze erzeugbar und über das Netzwerk (14) an die Servereinheit (12) übertragbar sind, wobei die automatische Bildverarbeitungseinheit (16) gemeinsam mit der Pflanzendatenbankeinheit (18) und der Bilddatenbankeinheit (20) anhand der übermittelten Bilddaten durch Abgleich mit in der Pflanzendatenbankeinheit (18) und der Bilddatenbankeinheit ...

Vorrichtung und Verfahren zur Bildverarbeitung

Die Erfindung betrifft ein Verfahren und eine Vorrichtung zur Bildverarbeitung wobei die Vorrichtung (100) eine Recheneinrichtung (102) und einen Speicher (104) für Instruktionen umfasst, bei deren Ausführung durch die Recheneinrichtung (102) ein erstes Bild bereitgestellt wird (202), in dem ein Objekt (110) dargestellt ist, wobei falls erkannt wird, dass das Objekt (110) im ersten Bild mit einem Objekterkennungsverfahren nicht erkennbar ist, ein gegenüber dem ersten Bild verändertes zweites Bild für das Objekterkennungsverfahren bereitgestellt wird (206), in dem das Objekt (110) dargestellt ist, wobei sich eine erste Darstellung des Objekts (110) im ersten Bild von einer zweiten Darstellung des Objekts (110) im zweiten Bild unterscheidet, aufgrund unterschiedlicher Lichtverhältnisse bei der Aufnahme der Bilder, unterschiedlicher Spiegelungen bei der Aufnahme der Bilder, unterschiedlicher Beleuchtungsverhältnisse bei der Aufnahme der Bilder, unterschiedlicher Darstellung von Verschmutzungsgraden ...

Systems and methods of object identification and database creation

Systems and methods of object identification and database creation

An image 402 of an original object is captured and an associated machine readable identifier is synchronously read. The image and its associated identifier are stored in an image database 300. An image 404 of a subsequent object whose machine readable identifier is either unavailable or incapable of being scanned is identified by comparing its image with similar images in the database. Identification information 406 based on a machine readable identifier associated with the image of the original object is output in response to recognising the object relative to other images in the database. The machine readable identifier can be a barcode or radio-frequency identification. More than one image can be captured using one or more cameras at different orientations and the identifier can be optically read. The object information can comprise a name, a description, a cost an image of the object displayed on a graphical user interface. Such a system for identifying objects can be used in a point ...

Embryo Assessment

Dynamic object classification

Road sign recognition

Vehicles can be equipped with computing devices, networks, sensors and controllers to determine, modify, and/or augment a digital map of the surrounding real world. The invention comprises determining road sign locations (404-410) in LIDAR data, identifying road signs 604-610 in video images based on the road sign locations, and including (806) the road sign in a digital map based on the road sign identity and location. The signs could be provided with retro-reflective areas to produce a high-intensity returns (304-310) in the LIDAR data. The LIDAR data could also be subjected to clustering and filtering to enhance the appearance of the signs. Optical character recognition (OCR) could also be used on the sign images in the video data, and the video images could be projected homographically (704-710) to eliminate pose distortion.

Activity surface detection, display and enhancement of a virtual scene

Method of searching data for objects identified by object detection

Control system for a vehicle

A control system comprising at least one controller being configured to obtain, via a camera system 185c, image data relating to terrain to be traversed by a vehicle (100, fig 1). For each of a plurality of sub-regions of the image data determine probability data relating to whether the respective sub-region relates to a path region or a non-path region of the terrain which may be in shadow. Determine a cost for the vehicle to traverse a portion of the terrain to which the sub-region relates depending on the probability data meeting one or more path probability criteria indicating that the sub-region relates to the path region, one or more non-path probability criteria indicating that the sub-region relates to the non-path region or neither the path probability criteria nor the non-path probability criteria and determining a vehicle path in dependence on the determined costs. Reference is also mad to a vehicle, a method and to a computer readable medium comprising computer readable instructions ...

Object detection and recognition system

Business discovery from imagery

Method and system for indentifying relevant media content

No title

Object identification system and method

DEPARTMENT ISOLATING BY PIXEL CHARACTERISATION USING BILDDATENCLUSTERUNG

Methods, apparatuses, and systems for creating 3-dimensional representations exhibiting geometric and surface characteristics of brain lesions

Methods, apparatuses, systems, and implementations for creating 3 -dimensional (3D) representations exhibiting geometric and surface characteristics of brain lesions are disclosed. 2D and/or 3D MRI images of the brain may be acquired. Brain lesions and other abnormalities may be identified and isolated with each lesion serving as a region of interest (ROI). Saved ROI may be converted into stereolithography format, maximum intensity projection (MIP) images, and/or orthographic projection images. Data corresponding to these resulting 3D brain lesion images may be used to create 3D printed models of the isolated brain lesions using 3D printing technology. Analysis of the 3D brain lesion images and the 3D printed brain lesion models may enable a more efficient and accurate way of determining brain lesion etiologies.

Electronic device and method for outputting thumbnail corresponding to user input

An electronic device includes a display, a processor and a memory that stores an image file having image data. The image data includes at least one object and metadata. The metadata includes information about an area corresponding to the at least one object and identification information of the at least one object. The processor outputs the area of the image file, which includes the identification information corresponding to a user input as a thumbnail of the image file, in the display in response to the user input.

Optical character recognition utilizing hashed templates

Techniques are disclosed for performing optical character recognition (OCR) by identifying a template based on a hash of a document. One embodiment includes a method for identifying a template associated with an image. The method includes receiving a digital image, a portion of the image depicting a first document, and extracting the portion of the image. The method further includes scaling the portion of the image and generating a first hash from the scaled image. The method further includes comparing the first hash to a set of hashes, each corresponding to a template. The method further includes selecting a first template as corresponding to the first document based on comparing the first hash to the set of hashes and extracting one or more sections of the portion of the image based on the selected first template. The method further includes performing OCR on the extracted one or more sections.

Systems and methods for VSLAM optimization

The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. Certain embodiments contemplate improvements to the front-end processing in a SLAM-based system. Particularly, certain of these embodiments contemplate a novel landmark matching process. Certain of these embodiments also contemplate a novel landmark creation process. Certain embodiments contemplate improvements to the back-end processing in a SLAM- based system. Particularly, certain of these embodiments contemplate algorithms for modifying the SLAM graph in real-time to achieve a more ...

Virtual golf simulation apparatus and sensing device and method used for same

The purpose of the present invention is to provide a device for a virtual golf simulation, a sensing device and method used in same, wherein a virtual golf simulation device can present an image of a simulated trajectory of a ball, so as to sense a ball hit with a golf club by a user using a virtual golf simulation, by acquiring an image of the ball hit and extracting a trajectory of motion for the ball found in the image, and more specifically, by analyzing a two-dimensional trajectory of ball candidates deemed to be a ball on an image obtained from a camera, and thus accurately and quickly calculate physical properties on a fast-moving ball, even when a slow low-resolution camera is used.

System and method for positioning of tubular members

A system and method for positioning oilfield tubulars on a drilling floor (2), having an automated tubular handling system, to permit alignment and automated make up and break out of threading operations between a stationary tubular (8) and a moving tubular (34), utilizing image information from radially offset cameras (54, 56), processing the image information to recognize the tubulars within the image and develop position information for said tubulars, combining the position information from the two camera systems to develop three dimensional information for each of the tubulars, developing instructions for the automated tubular handling system to bring the stationary and moving tubulars into vertical alignment and lowering the moving tubular into threaded contact, and engaging an automated hydraulic torque wrench to make up the threaded connection.

Magnetic resonance projection for constructing four-dimensional image information

Apparatus and techniques are described herein for nuclear magnetic resonance (MR) projection imaging. Such projection imaging may be used for generating four-dimensional (4D) imaging information representative of a physiologic cycle of a subject, such as including generating two or more two-dimensional (2D) images, the 2D images comprising projection images representative of different projection angles, and the 2D images generated using imaging information obtained via nuclear magnetic resonance (MR) imaging, assigning the particular 2D images to bins at least in part using information indicative of temporal positions within the physiologic cycle corresponding to the particular 2D images, constructing three-dimensional (3D) images using the binned 2D images, and constructing the 4D imaging information, comprising aggregating the 3D images.

VISUAL ANALYSIS PILL DISPENSER

This disclosure provides a visual analytical method of verifying dispensed pills. In a preferred embodiment, a camera captures one or more parameters of each pill as it travels along a dispense path. The camera stores the parameters, and a processor displays the parameters or evaluates whether the parameters are within a threshold limit for the dispensed pill. If the parameter is outside the threshold, the pill or the receptacle is separated and/or removed. If all the parameters are within the threshold, the pill is stored in a receptacle, and the images are processed and archived for future verification. The process is repeated for each pill in the dispenser. The system captures at least one verification image for every pill dispensed into the receptacle.

OPTICAL CHARACTER RECOGNITION UTILIZING HASHED TEMPLATES

Techniques are disclosed for performing optical character recognition (OCR) by identifying a template based on a hash of a document. One embodiment includes a method for identifying a template associated with an image. The method includes receiving a digital image, a portion of the image depicting a first document, and extracting the portion of the image. The method further includes scaling the portion of the image and generating a first hash from the scaled image. The method further includes comparing the first hash to a set of hashes, each corresponding to a template. The method further includes selecting a first template as corresponding to the first document based on comparing the first hash to the set of hashes and extracting one or more sections of the portion of the image based on the selected first template. The method further includes performing OCR on the extracted one or more sections.

METHOD FOR ESTABLISHING A POSTERIORI A MATCH BETWEEN A PIECE OF WOOD AND A LOG FROM WHICH THE PIECE OF WOOD HAS BEEN OBTAINED

A method for establishing a posteriori a match between a piece of wood and a log from which the piece of wood has been obtained, comprising the following operating steps of performing a tomographic scan of the wooden log, of calculating or selecting a log cutting pattern, of defining, starting with the tomographic information available, one or more virtual individualising characteristics which are linked to the distribution and/or size of physical characteristics of the log inside and/or on the surface of the self-same virtual piece of wood, of saving them in a database, together with information about the identity of the log, of dividing the log into real pieces of wood according to the cutting pattern, of acquiring real information about the distribution and/or size of physical characteristics of the log inside and/or on the surface of a real piece of wood and of defining corresponding real individualising characteristics to be compared with virtual individualising characteristics saved ...

METHOD FOR EVALUATING THE AUTHENTICITY OF A PAINTING AS WELL AS A CORRESPONDING USE

The invention describes a method for evaluating the authenticity of a painting, comprising the steps: a) Providing (10) a collection of a plurality of original paintings by a certain artist and creating (20) at least one digital image of each original painting from the collection of plurality of original paintings; b) Detecting (30) classification data for each one of the digital images of each original painting of the collection using the WND-CHARM method, wherein the classification data a reference data record of classification data for original paintings by the artist; c) Providing (40) an additional painting and creating (50) at least one digital image of the additional painting; d) Detecting (60) additional classification data for the digital image of the additional painting using the WND-CHARM method and e) Comparing (70) the additional classification data with the reference data record of classification data for original paintings, wherein on reaching or exceeding a minimum correspondence ...

CONCURRENT ACTIVE CONTOUR SEGMENTATION

A system and method for active contour segmentation. An image of a first and at least a second structure, a first position for the first structure, and at least a second position for the at least second structure are received, the first and the at least second positions are set as a first and an at least second initial contour, and the first and the at least second initial contours are concurrently and iteratively deformed to respectively expand into a first and at least a second expanded contour matching a shape of the first and the at least second structure by applying constraints to each point of the first and the at least second initial contour, comprising a constraint for preventing the first and at least one of the at least second initial contour from intersecting one another upon being deformed, and the constraints are updated after each iteration.

COMPUTERIZED REPLACEMENT TEMPLE FOR STANDARD EYEWEAR

In various embodiments, a computerized eyewear retrofit kit comprises a replacement temple configured to replace a temple of a pair of eyewear. The replacement temple comprises an elongated body having a first end configured to attach the replacement temple to the eyewear, at least one of a first group of one or more sensors coupled to the elongated body or a second group of one or more sensors configured to couple to a frame of the standard pair of eyewear. The at least one of the first or second group of sensors are for sensing at least one of a physiological characteristic of the wearer or an environmental characteristic associated with the wearer. The eyewear retrofit kit also comprises at least one processor and a power source that are operatively coupled to at least one of the first group or the second group of the one or more sensors.

VIRTUAL GOLF SIMULATION DEVICE AND METHOD AND SENSING DEVICE AND METHOD USED FOR THE SAME

The purpose of the present invention is to provide reality similar to enjoying golf at a real golf course by allowing a sensing device to sense a user hitting a ball with a golf club, so that, on the basis of results of sensing, a trajectory of a ball in a virtual golf course is simulated, thereby enabling a user to enjoy virtual golf in the virtual golf course. More specifically, the purpose of the present invention is to provide a virtual golf simulation device and method, and a sensing device and a method used in same, wherein the virtual golf simulation device and method can enhance reality by a presentation of a simulated image almost simultaneously with a swing of a user, which is made possible by obtaining an image having a plurality of frames for a ball hit by a user's swing, and as soon as the image is obtained, processing the image in real time, thereby significantly reducing the time required for processing sensing data.

AUTOMATED PHARMACEUTICAL PILL IDENTIFICATION

A pill identification system identifies a pill type for a pharmaceutical composition from images of the pharmaceutical composition. The system extracts features from images taken of the pill. The features extracted from the pill image include color, size, shape, and surface features of the pill. In particular, the features include rotation-independent surface features of the pill that enable the pill to be identified from a variety of orientations when the images are taken. The feature vectors are applied to a classifier that determines a pill identification for each image. The pill identification for each image is scored to determine identification for the pharmaceutical composition.

DISPOSITIF POUR L'IDENTIFICATION D'UNE PEINTURE.

Method of access to inherent information the places publics of a city or graphical works of the city.

E’ descritto un metodo di accesso ad informazioni inerenti i luoghi pubblici di una città, il metodo comprendendo le fasi di: fotografare un luogo pubblico (100) o un’opera grafica (1) nel luogo pubblico tramite un dispositivo elettronico portatile (2), preferibilmente uno smartphone, e trasmettere una corrispondente immagine (3) ad un server (4), l’immagine essendo trasmessa al server per il tramite di un’applicazione (5) installata sul dispositivo elettronico portatile sotto forma di una richiesta di recensione (6) del luogo pubblico o dell’opera grafica, ed essendo memorizzata in una database (7) del server; includere nella richiesta di recensione (6), informazioni di corredo (8), le informazioni di corredo non essendo leggibili o direttamente comprensibili dall’immagine del luogo pubblico o dall’opera grafica fotografata e comprendendo almeno indicazioni di una località (91, 92, 93) situata in prossimità del luogo pubblico (100); le informazioni di corredo (8) essendo reperibili riprendendo ...

Component management support system and method for supporting component management

Planting greenhouse security monitoring method and device

Method for determining image similarity, photo album management method and related equipment

Eye/gaze tracking system and method

Method and apparatus for detecting pictures of suspected infringing products

Polymer extrusion assembly and method for the detection of failure of cutter blades in polymer extrusion assembly

Method and system for determining homography matrix and image conversion method and system thereof

Image display apparatus, method and memory Image display program storage medium

Method and device for rapidly obtaining charging pile with high matching degree with electric vehicle

Configuration control information processing method and device

A credit card detection and digital recognition method based on deep learning

METHOD AND SYSTEM FOR TRACKING MOVING OBJECTS

Ce procédé de suivi d'objets en mouvement formant des cibles comprend une première étape d'observation des cibles, une deuxième étape récursive de suivi des déplacements desdites cibles, et une troisième étape dans laquelle on détermine si une cible est occultée. Il comprend en outre une étape récursive de détermination du type de cible, la deuxième étape et la troisième étape étant mises en œuvre en prenant en considération le type de cible.

AUTOMATIC LIGHTING DEVICE

Un aspect de l'invention concerne un dispositif (100) d'éclairage automatique comportant : - au moins une source de lumière infrarouge (40) éclairant un environnement ; - une caméra (10) filmant l'environnement éclairé par la au moins une source de lumière infrarouge (40) ; - une unité de traitement (20) d'au moins une image filmée par la caméra pour déterminer la présence au sein de ladite image d'au moins une classe parmi une pluralité de classes ; - au moins une source de lumière visible (50) ; - une unité de commande (30) de la au moins une source de lumière visible en fonction de la classe attribuée à chaque zone d'intérêt détectée.

AI FABRIC SEARCH SYSTEM THAT SEARCHES FOR AND RECOMMENDS SIMILAR FABRICS USING VIDEOS OF CLOTHING FABRICS

이미지 상호간의 매칭을 판단하는 방법, 장치 및 컴퓨터 프로그램

... 본 발명은 복수의 이미지 상호간의 동일 유사 여부를 판단하는 방법에 대한 것으로, 대상 이미지의 특징점을 적어도 하나 이상 추출하고, 상기 특징점의 속성 값을 계산하는 a 단계; 상기 특징점들 상호간 상기 속성 값의 차이에 대한 상대적인 분포를 계산하고 계산된 값을 상기 대상 이미지의 구조 정보로 관리하는 b 단계; 쿼리 이미지를 접수하면, 상기 쿼리 이미지의 구조 정보를 계산하는 c 단계; 상기 쿼리 이미지의 구조 정보 및 상기 대상 이미지의 구조 정보를 이용하여 상기 쿼리 이미지와 상기 대상 이미지의 매칭 여부를 판단하는 d 단계를 포함하는 것을 특징으로 한다.

METHOD, SERVER, AND SYSTEM FOR PROVIDING QUESTION AND ANSWER DATA SET SYNCHRONIZATION SERVICE FOR INTEGRATION MANAGEMENT AND INKAGE OF MULTI-SHOPPING MALL

이미지 안정화를 위한 이미지 융합 방법

... 이미지 안정화 동작을 개선하기 위한 시스템, 방법, 및 컴퓨터 판독 가능 매체를 설명한다. 비-기준 이미지들을 공통적으로 캡쳐된 이미지들의 세트에서 미리 선택된 기준 프레임과 융합하기 위한 새로운 접근법들이 개시된다. 융합 방법은 이웃하고 거의 유사한 픽셀들 간의 급격한 전환을 방지하기 위하여 고스트/비-고스트 픽셀들에 대하여 가중 평균을 사용함으로써 부드러운 전환을 이용할 수 있다. 또한, 고스트/비-고스트 결정은 각각의 픽셀에 대하여 독립적으로 진행되기 보다는 이웃하는 픽셀들의 세트에 기초하여 이루어질 수 있다. 대안적인 접근법은 모든 캡쳐된 이미지들의 다중 해상도 분해를 수행하는 단계, 각각의 계층에서 시간적 융합, 공간-시간적 융합, 또는 이들의 조합을 이용하는 단계, 및 출력 이미지를 생성하기 위하여 상기 상이한 계층들을 조합하는 단계를 포함할 수 있다.

Medical image processing device, treatment system, and medical image processing program

JIG FOR SYNTHESIZING IMAGE OF COLOR CAMERA AND THERMAL CAMERA

DEVICE FOR CLASSIFYING MEDICINES, METHOD FOR CLASSIFYING MEDICINES AND LEARNING MEDICINE CLASSIFICATION USING THE DEVICE, COMPUTER READABLE MEDIUMFOR PERFORMING THE METHOD

ARTIFICIAL INTELLIGENCE CLEANER AND CONTROLLING METHOD THEREOF

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER READABLE MEDIUM

... 사전 지식을 필요로 하지 않고서, 1매의 정지화상에 대해서도 현저도를 정밀도 좋게 평가한다. 화상 처리 장치는, 화상을 취득하는 화상 취득부와, 상기 화상에서의 하나 또는 복수의 화소로 이루어지는 영역을 단위구성으로 하여, 제1의 알고리즘에 의거하여 상기 영역과 상기 화상의 주연부의 영역과의 유사도를 나타내는 제1의 유사도 맵을 산출하고, 제2의 알고리즘에 의거하여 상기 영역과 상기 화상의 주연부의 영역과의 유사도를 나타내는 제2의 유사도 맵을 산출하는 유사도 맵 생성부와, 상기 제1의 유사도 맵 및 상기 제2의 유사도 맵을 통합하여 현저성 맵을 생성하는 현저성 맵 생성부를 구비한다.

SYSTEM FOR IDENTIFYING DRIVING LANE INFORMATION OR ROAD INFORMATION AND IDENTIFICATION METHOD USING SAME

The present invention relates to a system for identifying driving lane information or road information, which forms a specific mark on a road lane, road, sign, guardrail, media strip, which a camera can recognize, and allows the driving lane information of a vehicle the road information to be easily identified, and an identification method using the same. The system for identifying driving lane information or road information includes a photographing unit configured to acquire image data of a forward view of a vehicle; an identification unit configured to identify driving lane information and road information of the vehicle through the image data; and a control unit configured to control a driving speed and a driving direction of the vehicle according to the identified driving lane information or road information. On a road, at least one among a driving lane identification mark and a road information identification mark is formed. The identification unit identifies the driving lane information ...

Apparatus for Detecting Authenticity by Using Scattered Reflection of Dots and Driving Method Thereof

3차원 공간감지기와 영상분석을 융합한 감시시스템

... 본 발명은, 3차원 공간을 감지할 수 있는 객체감지기와 카메라의 영상분석을 융합한 감시시스템을 제안한다. 3차원 공간을 감지하는 객체감지기는 객체의 위치, 거리, 대략적인 크기 정보를 분석할 수 있다. 여기에 카메라 영상분석을 더하면, 훨씬 더 정확한 객체 분석이 가능하여, 현재 2차원 영상분석의 단점과 한계를 획기적으로 개선할 수 있다.

METHOD AND SYSTEM FOR ABNORMAL SITUATION MONITORING BASED ON VIDEO

METHOD FOR CONTROLLING REFRIGERATOR AND REFRIGERATOR CONTROLLER

According to an embodiment, a refrigerator controller comprises: an image acquisition unit receiving a current frame photographing an internal condition of a refrigerator; an area detection unit calculating a pixel value with respect to each pixel of the current frame, and comparing the pixel value with another pixel value with respect to a corresponding pixel of a previous frame to detect a change area; a divided image generating unit generating a divided image changing a pixel value of each pixel of the current frame to a first value or a second value based on the change area; a box extraction unit extracting a bounding box having a pixel set with the first value contained in the divided image; and a determination unit determining a change in a condition of the refrigerator by comparing the bounding box extracted through the box extraction unit with at least one pre-stored bounding box. COPYRIGHT KIPO 2018 (111) Image acquisition unit (112) Buffer (113) Region detection unit (114) Divided ...

MULTI BIOMETRIC DEVICE AND ACCESS SYSTEM INCLUDING SAME

One embodiment of the present invention relates to a multi biometric device including a host system capable of recognizing two or more physical features. A host system comprises: a biodata input unit capable of acquiring biodata of a user; and a biodata identification unit comparing the obtained biodata with biodata of the user registered in advance and performing identification. The biodata input unit receives a plurality of pieces of biodata from a body when the body of the user approaches in a non-contact state. The host system is housed in one module or one housing. COPYRIGHT KIPO 2018 ...

멀티뷰 및 3차원 비디오 코딩시의 모션 정보 예측 및 상속 방법

... 모션 정보 예측 및 상속을 위해 정렬된 모션 파라미터 도출을 이용한 3차원 비디오 코딩 방법이 개시된다. 본 발명에 따른 실시형태들은 모션 정보 예측 및 상속을 위해 대응 블록과 연관된 모션 파라미터를 활용한다. 정렬된 모션 파라미터는 대응 블록의 MV에 의해 지시된 참조 화상의 것과 동일한 POC(화상 순서 카운트) 또는 동일한 뷰 인덱스를 가진 정합된 참조 화상을 찾기 위해 현재 블록의 각각의 현재 참조 화상을 탐색함으로써 도출될 수 있다. 정렬된 모션 파라미터는 상속될 참조 뷰 내의 참조 화상의 참조 화상 인덱스가 현재 블록의 각각의 현재 참조 화상 리스트의 최대 참조 화상 인덱스를 초과하는지를 체크하기 위해 각각의 현재 참조 화상 리스트를 탐색함으로써 또한 도출될 수 있다.

METHOD FOR DISPLAYING SCAN DATA INCLUDING RELIABILITY

INTELLIGENT IMAGE ANALYSIS SYSTEM AND METHOD THEREOF

The present invention relates to an intelligent image analysis system and a method thereof. More particularly, the method of the present invention provides an event by analyzing data obtained from a camera and a smart device. Information received from the camera and the smart device is sorted by spatio-temporally matching the information, satisfaction of a security event-related condition is determined through the sorted information, and customer relation management (CRM) information is generated. The generated security event and CRM information are outputted from the sorted information. COPYRIGHT KIPO 2016 (100) Intelligent image analysis system (110) Selection unit (120) Security event analysis unit (130) CRM information analysis unit (140) Output unit (200) Smart device (300) Camera (310) Analysis processing unit (320) Surveillance recording control unit ...

SELECTING FEATURE GEOMETRIES FOR LOCALIZATION OF A DEVICE

Procedimiento y dispositivo para identificar autentificando mediante la fusión de múltiples características biológicas

PROCEDIMIENTO PARA IDENTIFICAR UNA IDENTIDAD BASADO EN LA FUSIÓN DE UNA PLURALIDAD DE CARACTERÍSTICAS BIOLÓGICAS QUE COMPRENDE RECOPILAR AL MENOS DOS TIPOS DE INFORMACIÓN DE IDENTIDAD CARACTERÍSTICA BIOLÓGICA DE UN USUARIO, REALIZAR EXTRACCIÓN DE CARACTERÍSTICAS EN CADA TIPO DE LOS AL MENOS DOS TIPOS DE INFORMACIÓN DE IDENTIFICACIÓN CARACTERÍSTICA BIOLÓGICA RECOPILADA, CREAR MATRICES CARACTERÍSTICAS BASADAS EN LA INFORMACIÓN CARACTERÍSTICA, REALIZAR PROCESAMIENTO DE NORMALIZACIÓN, REALIZAR FUSIÓN DE PONDERACIÓN DINÁMICA Y OBTENER UN RESULTADO DE IDENTIFICACIÓN DE IDENTIDAD DEL USUARIO; DISPOSITIVO.

HISTOGRAM METHODS AND SYSTEMS FOR OBJECT RECOGNITION

A multidimensional histogram is used to characterize an image (or object), and is used to identify candidate matches with one or more reference images (or objects). An exemplary implementation employs hue information for two of the dimensions, and a second derivative function based on luminance for a third dimension. The simplicity and speed of the detailed arrangements make them well suited for use with cell phones and other mobile devices, which can use the technology for image/object recognition, e.g., in visual search applications.

CHOOSING IMAGE LABELS

Methods, systems and apparatus for choosing image labels. In one aspect, a method includes receiving data specifying a first image, receiving text labels for the first image, receiving search results in response to a web search performed using at least some of the text labels as queries, ranking the text labels, at least in part, based on a number of resources referenced by the received search results, wherein at least some of the resources each include an image matching the first image, and selecting an image label for the image from the ranked text labels, the image label being selected based on the ranking.

Coloring inspection apparatus and coloring inspection method

An object is to ensure clear and easy quantification of the textures such as metallic texture and shiny texture of pearl pigment and to rationalize comparison inspection between an inspection object and a reference object. A coloring inspection apparatus 1 includes a camera 2 that is configured to have three spectral sensitivities (S1(λ), S2(λ), S3(λ)) linearly and equivalently converted to a CIE XYZ color matching function, an arithmetic processing unit 3 that is configured to obtain and compute coloring data by conversion of an image which has three spectral sensitivities and is obtained by the camera 2 into tristimulus values X, Y and Z in a CIE XYZ color system, and lighting units 6 that are configured to illuminate an automobile 5 as an example of measuring object. The coloring inspection apparatus 1 computes a color distribution consistency index that represents a ratio of overlap of two xyz chromaticity histogram distributions of an inspection object Q and a reference object R, so ...

Low-overhead image search result generation

A device may be configured to identify a plurality of images that are similar to a query image; generate a plurality of sets of rankings of the identified images based on a plurality of image attributes; compare the generated plurality of sets of rankings of the identified images to a reference set of rankings of images; select, based on the comparing, a particular set of rankings; and rank a plurality of images that are associated with another query image, based on an attribute associated with the selected particular set of rankings.

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.

Computer architecture for emulating an image output adapter for a correlithm object processing system

A device configured to emulate an image output adapter for a correlithm object processing system that includes an actor engine. The actor engine is configured to receive an aggregated correlithm object corresponding with a mask and to identify a plurality of correlithm objects in the aggregated correlithm object. Each mask table is linked with a mask that defines an array of pixels of an image. The actor engine is configured to populate each pixel location in the mask with a correlithm object from the plurality of correlithm object in accordance with a mask table for the mask. The actor engine is further configured to determine a pixel value for each pixel location in the mask based on the correlithm object at each pixel location and to output a representation of a portion of the image based on the mask populated with pixel values at each pixel location.

METHOD CONTROLLING IMAGE SENSOR PARAMETERS

A method of controlling parameters for image sensors includes; receiving a first image and a second image, calculating first feature values related to the first image and second feature values related to the second image; generating comparison results by comparing the first feature values of fixed regions and first variable regions of the first image with the second feature values of fixed regions and first variable regions of the second image, and controlling at least one parameter on the basis of the comparison results.

METHOD OF SEARCHING DATA TO IDENTIFY IMAGES OF AN OBJECT CAPTURED BY A CAMERA SYSTEM

A camera system comprises an image capturing device, object detection module, object tracking module, and match classifier. The object detection module receives image data and detects objects appearing in one or more of the images. The object tracking module temporally associates instances of detected objects, each of which has a signature representing features of the detected object. The match classifier matches object instances by analyzing data derived from the signatures. The match classifier determines whether the signatures match.

Predicting and Controlling Critical Dimension Issues and Pattern Defectivity in Wafers Using Interferometry

Systems and methods for predicting and controlling pattern quality data (e.g., critical dimension and/or pattern defectivity) in patterned wafers using patterned wafer geometry (PWG) measurements are disclosed. Correlations between PWG measurements and pattern quality data measurements may be established, and the established correlations may be utilized to provide pattern quality data predictions for a given wafer based on geometry measurements obtained for the give wafer. The predictions produced may be provided to a lithography tool, which may utilize the predictions to correct focus and/or title errors that may occur during the lithography process.

SYSTEM AND METHOD FOR USING A WEBSITE CONTAINING VIDEO PLAYLISTS AS INPUT TO A DOWNLOAD MANAGER

Systems and methods for enabling the download of a set of media files with a specific order and specific contents and, more particularly, to enabling a download manager to automatically receive the information it requires to retrieve those elements required to replicate a streaming edit through local playback after the downloads complete.

Methods for performing biometric recognition of a human eye and corroboration of same

A method of biometric recognition is provided. Multiple images of the face or other non-iris image and iris of an individual are acquired. If the multiple images are determined to form an expected sequence of images, the face and iris images are associated together. A single camera preferably acquires both the iris and face images by changing at least one of the zoom, position, or dynamic range of the camera. The dynamic range can be adjusted by at least one of adjusting the gain settings of the camera, adjusting the exposure time, and/or adjusting the illuminator brightness. The expected sequence determination can be made by determining if the accumulated motion vectors of the multiple images is consistent with an expected set of motion vectors and/or ensuring that the iris remains in the field of view of all of the multiple images.

INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND SYSTEM

An information processing device includes an obtainer and a controller. The obtainer obtains a captured image obtained through imaging by an imaging device. The controller generates instruction information for instructing how a subject having plural feature points is to be held up.

Robot cleaner and control method thereof

A control method for a robot cleaner includes acquiring a plurality of images of surroundings during travel of the robot cleaner in a cleaning area, estimating a plurality of room-specific feature distributions according to a rule defined for each of a plurality of rooms, based on the images acquired while acquiring the plurality of images, acquiring an image of surroundings at a current position of the robot cleaner, obtaining a comparison reference group including a plurality of room feature distributions by applying the rule for each of the plurality of rooms to the image acquired while acquiring the image at the current position, comparing the obtained comparison reference group with the estimated room-specific feature distributions, and determining a room from the plurality of rooms having the robot cleaner currently located therein.

Determining distortion by tracking objects across successive frames

A computer-implemented method of determining relative velocity between a vehicle and an object. The method includes receiving sensor data generated by one or more sensors of the vehicle. The one or more sensors are configured to sense an environment through which the vehicle is moving by following a scan pattern comprising component scan lines. The method also includes obtaining, based on the sensor data and by one or more processors, two or more point cloud frames representative of the environment and tracking, by the one or more processors, a point cloud object across the two or more point cloud frames. Additionally, the method includes determining, based on the tracking and by the one or more processors, a relative velocity of the point cloud object and correcting, by the one or more processors, the point cloud object based on the relative velocity of the point cloud object.

CHARACTER-RECOGNITION SHARPNESS DETERMINATIONS

An example electronic system is described in which an imaging device includes a lens and an image sensor. The imaging device is aligned with an optical target. The optical target includes a text character of a defined text size. An image capturer activates the imaging device to capture an electronic image of the optical target. The electronic image includes the text character of the optical target. An optical recognizer generates an optical recognition result for the character based on the captured electronic image. A sharpness detector compares the optical recognition result with a true value of the text character included in the optical target. Based on the comparison, a designated or defined text size is selected as a designated resolution. The designated resolution is then associable with the imaging device, the optical target, the electronic image, or a component thereof.

MEDICAL IMAGE PROCESSING APPARATUS AND MEDICAL IMAGE PROCESSING METHOD

In a medical image processing apparatus according to an embodiment, an image inverting unit generates a first inverted image obtained by inverting a first medical image in a left-and-right direction of an examined subject and generates a second inverted image obtained by inverting a second medical image that is different from the first medical image in the left-and-right direction of the examined subject. A displacement detecting unit detects a displacement between the first medical image and the first inverted image. A registration unit generates, based on the displacement detected by the displacement detecting unit, a corrected image obtained by correcting the second medical image or a corrected inverted image obtained by correcting the second inverted image. A difference image generating unit generates a difference image between the second inverted image and the corrected image or a difference image between the second medical image and the corrected inverted image. 1. A medical image processing apparatus comprising:an image inverting unit that generates a first inverted image obtained by inverting a first medical image in a left-and-right direction of an examined subject and generates a second inverted image obtained by inverting a second medical image that is different from the first medical image in the left-and-right direction of the examined subject;a displacement detecting unit that detects a displacement between the first medical image and the first inverted image;a registration unit that, based on the displacement that has been detected by the displacement detecting unit, generates one of a corrected image obtained by correcting the second medical image and a corrected inverted image obtained by correcting the second inverted image; anda difference image generating unit that generates one of a difference image between the second inverted image and the corrected image and a difference image between the second medical image and the corrected inverted image.2 ...

Metadata-Driven Method and Apparatus for Constraining Solution Space in Image Processing Techniques

Methods and apparatus for constraining solution space in image processing techniques may use the metadata for a set of images to constrain an image processing solution to a smaller solution space. In one embodiment, a process may require N parameters for processing an image. A determination may be made from metadata that multiple images were captured with the same camera/lens and with the same settings. A set of values may be estimated for the N parameters from data in one or more of the images. The process may then be applied to each of images using the set of values. In one embodiment, a value for a parameter of a process may be estimated for an image. If the estimated value deviates substantially from a value for the parameter in the metadata, the metadata value is used in the process instead of the estimated value. 16.-. (canceled)7. A computer-implemented method , comprising: estimating, from image content of an image, a value for a parameter to be used in a digital image processing technique when applied to the image;', 'obtaining, from metadata corresponding to the image, a value for the parameter determined when capturing the image;', 'determining that the difference between the estimated value for the parameter and the value for the parameter obtained from the metadata exceeds a threshold; and', 'applying the digital image processing technique to the image to generate an output image, wherein the value for the parameter obtained from the metadata is used in the digital image processing technique instead of the estimated value in response to said determining that the difference exceeds the threshold., 'performing, by one or more computing devices8. The computer-implemented method as recited in claim 7 , wherein the digital image processing technique is a vignette removal process claim 7 , and wherein the parameter is exposure.914.-. (canceled)15. A system claim 7 , comprising:at least one processor; and estimate, from image content of an image, a value for a ...

Template matching processing device and template matching processing program

The present invention is a template matching processing device capable of evaluating a similarity degree which supports even a case of intensive morphological change between a design image and a photographic image. In the template matching processing device, matching processing between the design image and the photographic image is performed, a partial design image is obtained by clipping a portion having the highest correlation (step 101 ), and processing for deforming the photographic image in accordance with the clipped design image (steps 102 to 105 ) is performed, so that correlation between the deformed image obtained and the design image is taken to be set as the similarity degree.

EVENT DETECTION APPARATUS AND EVENT DETECTION METHOD

An event detection apparatus includes an input unit configured to input a plurality of time-sequential images, a first extraction unit configured to extract sets of first image samples according to respective different sample scales from a first time range of the plurality of time-sequential images based on a first scale parameter, a second extraction unit configured to extract sets of second image samples according to respective different sample scales from a second time range of the plurality of time-sequential images based on a second scale parameter, a dissimilarity calculation unit configured to calculate a dissimilarity between the first and second image samples based on the sets of the first and second image samples, and a detection unit configured to detect an event from the plurality of time-sequential images based on the dissimilarity. 1. An event detection apparatus comprising:an input unit configured to input a plurality of time-sequential images;a first extraction unit configured to extract sets of first image samples according to respective different sample scales from a first time range of the plurality of time-sequential images based on a first scale parameter;a second extraction unit configured to extract sets of second image samples according to respective different sample scales from a second time range of the plurality of time-sequential images based on a second scale parameter;a dissimilarity calculation unit configured to calculate a dissimilarity between the first and second image samples based on the sets of the first and second image samples; anda detection unit configured to detect an event from the plurality of time-sequential images based on the dissimilarity.2. The event detection apparatus according to claim 1 , wherein the first extraction unit is configured to extract the sets of the first image samples from images generated before a predetermined image among the plurality of time-sequential images claim 1 , andwherein the second ...

SYSTEM AND METHOD FOR USE OF IMAGES WITH RECOGNITION ANALYSIS

An index is provided that holds information about each image content item in a collection of items, For each image content item, a first information item identifying the image content item and its location on a network, and at least one of (i) a second information item identifying a signature value of an object in the image content, or (ii) identification of a recognized object in the image content. 1performing image analysis on a collection of image content items to obtain information about each image content item, including one or more of (i) determination of one or more objects in individual image content item, (ii) determination of a signature value for each determined object;storing the information obtained from the image analysis in a database;making the database available for search operations that specify one or more criteria determined from a text or image content provided in connection with the document.. A method for selecting image content for a document, the method comprising: This application is a continuation of U.S. patent application Ser. No. 13/088,277, filed Apr. 15, 2011, which is a continuation of U.S. patent application Ser. No. 12/431,706, filed on Apr. 28, 2009, which is a continuation of U.S. patent application Ser. No. 11/543,758, filed on Oct. 3, 2006, which (i) claims priority to: U.S. Provisional Patent Application No. 60/723,349, filed Oct. 3, 2005; (ii) claims priority to: U.S. Provisional Patent Application No. 60/723,356, filed Oct. 3, 2005; (iii) and is a continuation-in-part of U.S. patent application Ser. No. 11/246,742, filed on Oct. 7, 2005, which claims priority to U.S. Provisional Patent Application No. 60/679,591, filed May 9, 2005. All of the aforementioned priority applications are hereby incorporated by reference in their entirety.The disclosed embodiments relate generally to the field of digital image processing. More particularly, the disclosed embodiments relate to a system and method for enabling the use of captured ...

Systems and methods for tracking with discrete texture traces

An active set of discrete texture traces to a target point is determined in a first video frame and is applied to a second video frame to detect the target location in a second video frame. An estimate is made of the target location in the second video frame. A score map is computed of an area of locations. A location with a highest score in the score map is the new target location. If a threshold value is not met the active set of texture traces is stored. A score map for each of stored active sets is computed to determine the target location. If no score meets the threshold the target location in a previous video frame is made the current target location and a new active set of discrete texture traces is determined. Systems that implement the steps of the methods are also provided.

METHOD AND SYSTEM FOR DETERMINING COLOUR FROM AN IMAGE

Embodiments of the invention relate to the determination of the colour of a colour sample from an image of the colour sample. In one embodiment a colour sample capture card is provided having printed thereon colour samples of known colour (for example, XYZ tri-stimulus values). An image of the test colour sample is then captured using domestically available equipment, such as a consumer digital camera or camera-equipped mobile telephone, the image also containing the colour sample capture card. In one embodiment the image is then transmitted to a remote colour determination service for colour sample colour determination. Regression analysis is then performed using the RGB colour samples in the image and known XYZ colours thereof to characterise the colour capture response of the image capture device. Having characterised the image capture device the XYZ colour of the unknown colour sample can be determined from the RGB colour thereof in the image. Knowing the XYZ colour, the colour can then be matched to a palette of paint colours, to determine a paint colour to match the unknown colour. 1. A method , comprising:receiving first image data relating to an unknown colour sample, colorimetry data for which is to be determined;receiving second image data relating to a plurality of known calibration colour samples, colorimetry data for which are already known;determining a plurality of colour calibration characteristics relating colour measurements of the known calibration colour samples from the second image data to the corresponding known colorimetry data of the calibration colour samples;calculating colorimetry data of the unknown colour sample in dependence on colour measurements thereof from the first image data and the determined colour calibration characteristics; andmatching the determined colorimetry data of the unknown colour sample to a colour palette of paint colours to identify a matching paint colour, and providing information relating to the matching paint ...

Method for Fast, Robust, Multi-Dimensional Pattern Recognition

A method and system for probe-based pattern matching including an apparatus for synthetic training of a model of a pattern. The apparatus comprises a sensor for obtaining an image of the pattern and a processor for receiving the image of the pattern from the sensor and running a program. In the steps performed by the program a boundary of the pattern in the image is identified. A plurality of positive probes are placed at selected points along the boundary of the pattern and at least one straight segment of the boundary of the pattern is identified. The at least one straight segment of the boundary is extended to provide an imaginary straight segment and a plurality of negative probes are placed at selected points along the imaginary straight segment, where each negative probe has a negative weight. 1. In probe-based pattern matching , a method for synthetic training of a model of a pattern , the method comprising:providing a machine vision system that includes a processor that is programmed to perform the steps of:placing a plurality of positive probes at selected points along a boundary of the pattern;identifying at least one straight segment of the boundary of the pattern;extending at least one straight segment of the boundary to provide an imaginary straight segment; placing a plurality of negative probes at selected points along the imaginary straight segment, each negative probe having a negative weight.2. The method of claim 1 , wherein placing a plurality of positive probes at selected points along a boundary of the pattern includes:determining an arc position for each boundary point along a segment of the boundary, starting with zero at a first boundary point at a first end of the segment, and increasing while moving away from the first end by an amount equal to the distance between the boundary points along the segment;determining the total arc length of the segment as being the arc position of a boundary point most distal from the first boundary point of ...

Image Processing Device, Charged Particle Beam Device, Charged Particle Beam Device Adjustment Sample, and Manufacturing Method Thereof

An object of the present invention is to provide an image processing apparatus that quickly and precisely measures or evaluates a distortion in a field of view and a charged particle beam apparatus. To attain the object, an image processing apparatus or the like is proposed which acquires a first image of a first area of an imaging target and a second image of a second area that is located at a different position than the first area and partially overlaps with the first area and determines the distance between a measurement point in the second image and a second part of the second image that corresponds to a particular area for a plurality of sites in the overlapping area of the first image and the second image. 1. An image processing apparatus , comprising:a template setting section that creates a template for pattern matching by cutting a first part corresponding to a particular area of an imaging target from a first image of a first area of said imaging target; anda matching section that performs a matching processing using the template created by the template setting section,wherein the image processing apparatus further comprises a calculation section that calculates a distance between a measurement point in a second image that corresponds to said first part of said first image and a second part of the second image that corresponds to said particular area, the second image being taken of a second area of the imaging target that is located at a different position than said first area and partially overlaps with said first area, andthe calculation section determines the distance between said measurement point and said second part for a plurality of sites in said overlapping area.2. The image processing apparatus according to claim 1 , wherein a size of said first area and a size of said second area are the same.3. Image processing apparatus according to claim 1 , wherein said calculation section determines a distance between said measurement point at a ...

METHOD, APPARATUS AND SYSTEM FOR TRACKING AN OBJECT IN A SEQUENCE OF IMAGES

A method of tracking an object (e.g., ) in a sequence of images of a scene, is disclosed. At least one foreground area in the scene is associated with the object (). An event that is affecting the foreground area of the scene is determined A track representation is added to a track corresponding to the object (). The added track representation models the determined event and has a property based on the foreground area. Properties of one or more further track representations of are track updated, based on the foreground area, in order to track the object (). 1. A method of tracking an object in a sequence of images of a scene , said method comprising:determining an event that is affecting a foreground area corresponding to the object, the object being associated with a track having a first track representation;adding a second track representation to the track, said second track representation being created based on the foreground area prior to the event;updating the first track representation based on the foreground area while the second track representation is kept; andmatching at least one of the foreground areas with at least one of the first and second track representations to track the object.2. A method according to claim 1 , further comprising deleting one or more of the track representations of the track if the modelled event is false.3. A method according to claim 1 , further comprising deleting one or more of the track representations of the track if the event has ended.4. A method according to claim 1 , wherein the first track representation is an unoccluded track representation.5. A method according to claim 4 , wherein the second track representation is added as an occluded track representation to the track claim 4 , if a background object is occluding said object.6. A method according to claim 1 , wherein at least one of width claim 1 , height and location of the area of first track representation is updated while the width and height of the second ...

METHOD AND SYSTEM FOR DETERMINING COLOUR FROM AN IMAGE

Embodiments of the invention relate to the determination of the colour of a colour sample from an image of the colour sample. In one embodiment a colour sample capture card is provided having printed thereon colour samples of known colour (for example, XYZ tri-stimulus values). An image of the test colour sample is then captured using domestically available equipment, such as a consumer digital camera or camera-equipped mobile telephone, the image also containing the colour sample capture card. In one embodiment the image is then transmitted to a remote colour determination service for colour sample colour determination. Regression analysis is then performed using the RGB colour samples in the image and known XYZ colours thereof to characterise the colour capture response of the image capture device. Having characterised the image capture device the XYZ colour of the unknown colour sample can be determined from the RGB colour thereof in the image. A clustering algorithm is employed to identify if there is more than one colour in the unknown colour sample. 1. A method , comprising:receiving first image data relating to an unknown colour sample, colorimetry data for which is to be determined;receiving second image data relating to a plurality of known calibration colour samples, colorimetry data for which are already known;determining a plurality of colour calibration characteristics relating colour measurements of the known calibration colour samples from the second image data to the corresponding known colorimetry data of the calibration colour samples; andcalculating colorimetry data of the unknown colour sample in dependence on colour measurements thereof from the first image data and the determined colour calibration characteristics;wherein calculating comprises:applying a clustering algorithm to pixel values of pixels representing the unknown colour sample in the first image to determine the number of colours in the sample image; andreturning a colour for the ...

Semantic Parsing of Objects in Video

Techniques, systems, and computer program products for parsing objects in a video are provided herein. A method includes producing and storing a plurality of versions of an image of an object derived from a video input, wherein each version of said image has a different resolution of said image; computing an appearance score at each of a plurality of regions on the lowest resolution version of said image for a plurality of semantic attributes with associated parts for said object, said appearance score denoting a probability of each semantic attribute appearing in the region; analyzing increasingly higher resolution versions than the lowest resolution version to compute a resolution context score for each region in the lowest resolution version; and ascertaining an optimized configuration of body parts and associated semantic attributes in the lowest resolution version, said ascertaining utilizing the appearance scores and the resolution context scores. 1. A method comprising:producing and storing a plurality of versions of an image of an object derived from a video input, said image cropped from said video input, and wherein each version of said image has a different resolution of said image of said object;computing an appearance score at each of a plurality of regions on the lowest resolution version of said versions of said image for a plurality of semantic attributes with associated parts for said object, said appearance score for at least one semantic attribute of the plurality of semantic attributes for each region denoting a probability of each semantic attribute of the at least one semantic attribute appearing in the region;analyzing increasingly higher resolution versions than the lowest resolution version to compute a resolution context score for each region in the lowest resolution version, said resolution context score being indicative of an extent to which finer spatial structure exists in the increasingly higher resolution versions than in the lowest ...

INFORMATION PROCESSING APPARATUS, STORE SYSTEM AND METHOD

An information processing apparatus comprises a similarity calculation unit calculates a similarity showing the degree of similarity between the image of an object captured and the reference image of each registered commodity, which is registered together with a superior category showing information relevant with each registered commodity registered in a dictionary, a determination unit compares the degree of similarity between the reference image and each image acquired by an acquisition unit and determines whether or not the degree of similarity of the superior category acquired by adding the similarities of a plurality of varieties belonging to the same superior category meets a specified condition and a reporting unit reports the information relevant with a commodity corresponding to the plurality of varieties meeting the specified condition as a candidate of a captured commodity in the situation that the determination unit determines that the specified condition is met. 1. An information processing apparatus , comprising:an image capturing unit configured to capture a commodity to output the image of the commodity;an image acquisition unit configured to acquire the image outputted by the image capturing unit;a similarity calculation unit configured to calculate a similarity showing the degree of similarity between the image of the commodity captured by the image capturing unit and the reference image of each registered commodity, which is registered together with a superior category showing information relevant with each registered commodity in a dictionary;a determination unit configured to compare the degree of similarity between the reference image and each image acquired by the image acquisition unit and determine whether or not the degree of similarity of the superior category obtained by adding the similarities of a plurality of varieties belonging to the same superior category meets a specified condition; anda reporting unit configured to report the ...

Image Matching Apparatus and Image Matching Method

An image matching apparatus is provided. The apparatus includes a storage unit, an obtaining unit, a specification unit, and an image matching unit. The storage unit is configured to store image data of one or more devices that are connected to a local network. The obtaining unit is configured to obtain image data of device image obtained by capturing a device. The specification unit is configured to specify one or more local networks to be used for image matching. The image matching unit is configured to perform image matching of the obtained image data against the stored image data of one or more devices that are connected to the specified local network. 1. An image matching apparatus , comprising:a storage unit configured to store image data of one or more devices that are connected to the storage unit through a plurality of local networks;an obtaining unit configured to obtain image data of a device image obtained by a capturing device;a specification unit configured to specify one or more of the local networks to be used for image matching; andan image matching unit configured to perform image matching of the obtained image data against the stored image data of one or more devices that are connected to the specified one or more of the local networks.2. The apparatus according to claim 1 , further comprising another unit configured to obtain data relating to the capturing device by use of a result of the image matching.3. The apparatus according to claim 2 , wherein the data relating to the capturing device includes at least one of context information relating to the capturing device claim 2 , software for controlling the capturing device claim 2 , and an advertisement associated with the capturing device.4. The apparatus according to claim 1 , wherein the image matching unit is further configured to reduce the number of the image data to be used for the image matching or change the order of image data to be used for the image matching claim 1 , based on a ...

Preventing classification of object contextual information

Technology is disclosed for preventing classification of objects, e.g., in an augmented reality system. The technology can identify a set of objects to be classified, determine whether context information for one or more objects in the identified set of objects to be classified is identified as not to be employed during classifiation, and during classification of two different objects, include context information for one object but not the other.

Preferred Images from Captured Video Sequence

In one embodiment, a computer system identifies a user in one or more frames of a video file, accesses a data store for image attitudinal data associated with the user, ranks the one or more frames based on the image attitudinal data associated with the user, and presents one or more top ranked frames to the user. 1. A method , by one or more computing devices , comprising:accessing image data comprising a plurality of images;analyzing at least some of the images to identify one or more social network objects; accessing a data store for image attitudinal data associated with the first social network object;', 'determining a value of the particular images based on the image attitudinal data associated with the first social network object; and', 'selecting at least one of the particular images based on the respective values of the particular images., 'for at least a first social network object of the one or more identified social network objects, wherein the first social network object is identified in one or more particular images of the images2. The method of claim 1 , wherein for at least a first social network object of the one or more identified social network objects claim 1 , wherein the first social network object is identified in one or more particular images of the images claim 1 , further comprises:presenting one or more selected images to the first social network object.3. The method of claim 2 , wherein the presenting one or more selected images to the first social network object claim 2 , further comprises:constructing a structured document comprising one or more of the selected images; andpresenting the structured document to the first social network object.4. The method of claim 3 , wherein at least one selected image in the structured document further comprising a selectable link to a portion of the images claim 3 , the portion including the at least one selected image.5. The method of claim 1 , further comprising:tagging at least one of the one or ...

Image comparison device, image comparison method, image comparison system, server, terminal, terminal control method, and terminal control program

[Problem] To provide an image comparison device which improves comparison precision and processing speed when deriving integrated comparison result on the basis of comparison results for individual local areas. [Solution] An image comparison device comprises: image acquisition means for acquiring an image; image display means for displaying the image acquired by the image acquisition means; input location pattern acquisition means for acquiring an input location pattern representing a general location of an area which is a comparison object in an area of the image displayed by the image display means; comparison object general area estimation means for estimating, on the basis of the input location pattern, a comparison object general area which is a general area of the comparison object in the image displayed by the image display means; and comparison result presentation means for presenting a result of comparison between a search image and a registered image, at least one of which is an image in the comparison object general area.

Image capture device, image capture device focus control method, and integrated circuit

The stability is improved with which focus control is performed by an image capture device that brings a face region image into focus according to the contrast method. A human detection circuit 3 performs a human image search by using a threshold value Thh 1 . A face detection circuit 2 performs a face image search by using a threshold value Thf 1 . When an entire body image region corresponding to an entire body of a person is detected and a face image region corresponding to a face of the same person is detected in the captured image through the human image search and the face image search, the face detection circuit 2 performs redetermination with respect to the face image region by using a threshold value Thf 2 . The redetermination by using the threshold value Thf 21 has higher accuracy compared to the face image search by using the threshold value Thf 1.

SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR IDENTIFYING OBJECTS IN VIDEO DATA

Image based operating systems and methods are provided that identify objects in video data and then take appropriate action in a wide variety of environments. In some embodiments, the image based operating systems and methods allow a user to activate other devices and systems by making a gesture. 1. A method of identifying an object in a feed of images , the method comprising the steps of:a. analyzing a plurality of sequential frames from a feed of frames;b. selecting in each frame, one or more unit areas of interest;c. applying to each unit area a plurality of detectors, wherein each detector provides a value expressing one aspect of a target object;d. assembling data in a sample vector, wherein the data comprises a plurality of components and each component is the individual value outcome of a given detector applied on a given unit area from a given frame; ande. evaluating the performance of the sample vector by counting in the vicinity of the sample vector, all vectors known with the target object to form a first count, and counting all vectors known with or without the target object, as acquired during a training phase to form a second count, wherein the ratio of the first count to the second count estimates the probability of the presence of the target object.2. The method of claim 1 , wherein the target object is a global target that can be decomposed in subparts and each subpart is a component of the sample vector.3. The method of claim 2 , wherein each individual subpart has been trained on a specific set of data and wherein consolidated detection is later trained on a set involving the final global target.4. The method of claim 1 , wherein each of the plurality of components comprises an aggregate score.5. The method of claim 1 , wherein the data is in a form of a two dimensional matrix.6. A method of identifying an object in a feed of images claim 1 , the method comprising the steps of:receiving video data, wherein said video data corresponds to a ...

COMPARTMENT SEGREGATION BY PIXEL CHARACTERIZATION USING IMAGE DATA CLUSTERING

The present invention relates generally to improved methods of defining areas or compartments within which biomarker expression is detected and quantified. In particular, the present invention relates to automated methods for delineating marker-defined compartments objectively with minimal operator intervention or decision making. The method provides for precise definition of tissue, cellular or subcellular compartments particularly in histological tissue sections in which to quantitatively analyzing protein expression. 1. A method for defining a first marker-defined biological compartment relative to a second marker-defined biological compartment present in a biological sample of interest , comprising comparing the intensity in each of the pixel locations in a first high-resolution image of the first marker defined biological compartment with the intensity in each of the corresponding pixel locations of a second high-resolution image of the second marker-defined biological compartment , wherein the first high-resolution image was prepared using a first imaging agent that is specific for the first marker-defined biological compartment , and wherein the second high-resolution image was prepared using a second imaging agent that is specific for the second marker-defined biological compartment , wherein differences in pixel intensity define the first marker-defined biological compartment relative to the second marker-defined biological compartment.2. The method of claim 1 , wherein the method is automated.3. The method of claim 2 , wherein the method is implemented by a computer.4. The method of claim 1 , wherein the pixels of the two high resolution images are plotted claim 1 , wherein the axes of the plot comprise the intensity of the first imaging agent and the intensity of the second imaging agent.5. The method of claim 1 , further comprising:i) assigning pixels to a cluster characterized by high first imaging agent intensity and low second imaging agent intensity ...

PATTERN MATCHING METHOD, IMAGE PROCESSING DEVICE, AND COMPUTER PROGRAM

In order to provide a computer program, an image processing device, and a pattern matching method that perform pattern matching at a high level of accuracy without relying on edge deformation, contrast fluctuations, etc., in one embodiment, the disclosed pattern matching method and device perform pattern matching over an image using a template produced on the basis of the below mentioned design data. The pattern matching method and device determine the characteristic quantities of the image for an inner region and/or an outer region that are divided by a line that defines the contour of a pattern, and determine positions at which said characteristic quantities satisfy predetermined conditions to be matching positions, matching position candidates, or erroneous matching positions. 1. An image processing device comprising a calculation unit that performs pattern matching on an image using a template that is formed based on design data , whereinthe calculation unit obtains a characteristic quantity of the image for an internal area and/or an external area that is segmented by a line segment that defines a contour of a pattern and determines a position in which the characteristic quantity satisfies a certain condition as a matching position, a matching position candidate, or an erroneous matching position.2. The image processing device according to claim 1 , whereinthe calculation unit determines a position in which variation in brightness of the internal area and/or the external area satisfies a certain condition as a matching position, a matching position candidate, or an erroneous matching position.3. The image processing device according to claim 2 , whereinthe calculation unit determines the matching position, the matching position candidate, or the erroneous matching position based on comparison of a parameter that indicates the variation in brightness and a certain threshold value.4. The image processing device according to claim 1 , whereinthe calculation unit ...

DIFFERENCE DEGREE EVALUATION DEVICE, DIFFERENCE DEGREE EVALUATION METHOD AND PROGRAM PRODUCT

A difference degree evaluation device includes a signal acquisition unit which acquires at least two signals which are objects of matching, a memory unit which stores one of the two signals, which are acquired by the signal acquisition unit, as a reference signal, and stores the other of the two signals as an object signal, a sample extraction unit which extracts sample points in a predetermined block from the reference signal that is stored in the memory unit, and extracts sample points corresponding to the sample points of the reference signal from the object signal, and an arithmetic process unit which finds absolute difference values between the sample points of the reference signal and the sample points of the object signal, which are extracted by the sample extraction unit, and calculates a maximum value of the absolute difference values as an evaluation value. 1. A difference degree evaluation device comprising:a signal acquisition unit which acquires at least two signals which are objects of matching;a memory unit which stores one of the two signals, which are acquired by the signal acquisition unit, as a reference signal, and stores the other of the two signals as an object signal;a sample extraction unit which extracts sample points of the object signal respectively corresponding to sample points in a predetermined block of the reference signal stored in the memory unit;a first arithmetic process unit which calculates a maximum value of absolute difference values between the sample points of the reference signal and the sample points of the object signal, which are extracted by the sample extraction unit, as an evaluation value;a second arithmetic process unit which calculates a sum of the absolute difference values between the sample points of the reference signal and the sample points of the object signal as the evaluation value;an evaluation control unit which evaluates a difference degree by selectively using the first arithmetic process unit and the ...

IMAGE RECOGNITION APPARATUS AND METHOD USING SCALABLE COMPACT LOCAL DESCRIPTOR

An image recognition apparatus using a scalable compact local feature descriptor is provided. The image recognition apparatus includes a feature descriptor generator, a database, and a descriptor matcher. The feature descriptor generator extracts scalable compact local feature descriptor information for recognizing an object from input image information. The database includes information on a plurality of feature descriptors. The descriptor matcher compares a feature descriptor output from the feature descriptor generator with a plurality of feature descriptors stored in the database to recognize an object included in an image. 1. An image recognition apparatus , comprising:a feature descriptor generator configured to extract scalable compact local feature descriptor information for recognizing an object from input image information;a database configured to include information on a plurality of feature descriptors; anda descriptor matcher configured to compare a feature descriptor output from the feature descriptor generator with a plurality of feature descriptors stored in the database to recognize an object included in an image.2. The image recognition apparatus of claim 1 , wherein the feature descriptor generator comprises:a feature point extraction unit configured to extract a point at which a change in a pixel statistical value is large as a feature point from a scale space of the input image;is a local region feature calculation unit configured to calculate a scale of the feature point to extract a local region;a feature comparison unit configured to compare features calculated by the local region feature calculation unit for each region to generate a bit stream which is used in an actual feature descriptor; anda feature descriptor extraction unit configured to generate a descriptor using a local region feature result value output from the feature comparison unit.3. The image recognition apparatus of claim 2 , wherein the local region feature calculation unit ...

System and method for using an image to provide search results

A system and method uses one or more images provided to an image recognition capable search engine to obtain search results. The image recognition system may use one or more image match algorithms to create one or more possible product match sets. In the event multiple product match sets are created, the search results may be limited to product that appears in one or more of the plural possible product match sets.

CONTENT-BASED MATCHING OF VIDEOS USING LOCAL SPATIO-TEMPORAL FINGERPRINTS

A computer implemented method for matching video data to a database containing a plurality of video fingerprints of the type described above, comprising the steps of calculating at least one fingerprint representing at least one query frame from the video data; indexing into the database using the at least one calculated fingerprint to find a set of candidate fingerprints; applying a score to each of the candidate fingerprints; selecting a subset of candidate fingerprints as proposed frames by rank ordering the candidate fingerprints; and attempting to match at least one fingerprint of at least one proposed frame. 1. A computer implemented method for deriving a fingerprint from video data , comprising the steps of:receiving a plurality of frames from the video data;selecting at least one key frame from the plurality of frames, the at least one key frame being selected from two consecutive frames of the plurality of frames that exhibiting a maximal cumulative difference in at least one spatial feature of the two consecutive frames;detecting at least one 3D spatio-temporal feature within the at least one key frame; andencoding a spatio-temporal fingerprint based on mean luminance of the at least one 3D spatio-temporal feature.2. The method of claim 1 , wherein the at least one spatial feature is intensity.3. The method of claim 1 , wherein the at least one 3D spatio-temporal feature is at least one Maximally Stable Volume (MSV).4. The method of claim 3 , wherein the at least one MSV is based on two dimensions of length and width of at least one key frame and the third dimension is resolution.5. The method of claim 3 , wherein the at least one MSV is based on two dimensions of length and width of at least one key frame and the third dimension is time.6. The method of claim 3 , wherein the MSV is a volume that exhibits about a zero change in intensity for an incremental change in volume.7. The method of claim 1 , further comprising the step of preprocessing the ...

HUMAN SUBMENTAL PROFILE MEASUREMENT

An imaging system captures images of a human submental profile in a dimension controlled environment and utilizes image analysis algorithms for detecting submental changes. Instead of implementing a strict posture control of a subject, the imaging system allows the subject to freely move his/her head in an up-and-down direction and a high speed camera captures this movement through a series of images at varying head-to-shoulder angles. The image analysis algorithms may accurately compare before and after images at similar head-to-shoulder angles to identify changes in a human submental profile using a series of measurements and checkpoints. 1. A method for identifying a change in a profile comprising:receiving a plurality of profile images comprising before images and after images;determining an angle for each of the profile images;matching one of the before images with one of the after images based on the determined angle, wherein the matching comprises identifying multiple pairs of before and after images at different angles;calculating an area of the profile, including a submental area, for both of the matched before and after images for at least one of the pairs; andidentifying changes in the matched after image when compared with the matching before image.2. The method of wherein the calculating the area further comprises:identifying a tip of a tragus, a tip of a nose, a tip of a chin, and a base of a neck for each of the before and after images for a matched pair of images;calculating an area bounded by at least a portion of the identified tip of the tragus, tip of the nose, tip of the chin, and base of the neck.3. The method of wherein the tip of the nose is identified by finding a tangent line from the nose that is perpendicular to a line through the tip of the tragus.4. The method of wherein the tip of the chin is identified by finding a tangent line from the chin that is perpendicular to a line through the tip of the tragus.5. The method of wherein the ...

METHOD AND SYSTEM FOR REAL TIME IMAGE RECOGNITION ON A MOBILE DEVICE

The various embodiments herein provide a method and system for real time image searching on a mobile device. The method comprises of installing an image recognition application in the mobile device, capturing one or more images using the mobile device and recognizing a plurality of images in successive frames by ranking one or more feature points of the captured images through the image recognition application. The ranking of feature points is performed by generating a random forest for the images, obtaining a plurality of features points in the captured images using a feature based method, matching the images captured through the mobile device with the plurality of images stored in the random forest, designating a rank for the tracked feature points in the images, determining the stable features of the images, recognizing the matched image based on stable features and delivering the content based on the recognized object. 1. A method for real time image recognition on a mobile device , the method comprises of:installing an image recognition application in the mobile device;capturing a plurality of images using the mobile device; and generating a random forest for the plurality of images;', 'storing the generated random forest in a training module in an application server;', 'passing the random forest to the mobile device;', 'passing the captured images through an image recognition process on the mobile device;', 'obtaining a plurality of features points in the captured images using a feature based algorithm;', 'matching the image captured through the mobile device with the plurality of intakes stored in the random forest;', 'designating a rank for the tracked feature points in the images;', 'incrementing the designated ranks based on a repetition of the feature points in the images of the successive frames;', 'determining one or more stable features of the images by ranking the features points based on a threshold and repetition;', 'applying a Ransac on the ...

METHOD OF PROCESSING DISPARITY SPACE IMAGE

The present invention relates to a processing method that emphasizes neighboring information around a disparity surface included in a source disparity space image by means of processing that emphasizes similarity at true matching points using inherent geometric information, that is, coherence and symmetry. The method of processing the disparity space image includes capturing stereo images satisfying epipolar geometry constraints using at least two cameras having parallax, generating pixels of a 3D disparity space image based on the captured images, reducing dispersion of luminance distribution of the disparity space image while keeping information included in the disparity space image, generating a symmetry-enhanced disparity space image by performing processing for emphasizing similarities of pixels arranged at reflective symmetric locations along a disparity-changing direction in the disparity space image, and extracting a disparity surface by connecting at least three matching points in the symmetry-enhanced disparity space image. 1. A method of processing a disparity space image , comprising:capturing stereo images including parallax using at least two cameras;generating pixels of a source disparity space image based on the stereo images;generating a symmetry-enhanced disparity space image by performing symmetry enhancement processing on the source disparity space image; andextracting a disparity surface by connecting at least three matching points in the symmetry-enhanced disparity space image.2. The method of claim 1 , further comprising claim 1 , before the generating the symmetry-enhanced disparity space image claim 1 , performing coherence enhancement processing on the disparity space image.3. The method of claim 2 , wherein the performing the coherence enhancement processing is configured to apply a function of calculating a weighted mean value of neighboring pixels included in a single Euclidean distance preset for one center pixel of the source disparity ...

METHOD AND SYSTEM FOR DETERMINING A QUALITY MEASURE FOR AN IMAGE USING MULTI-LEVEL DECOMPOSITION OF IMAGES

Method and system for determining a measure of quality for images by using multi-level decomposition are presented. Multi-level decomposition of images is performed in the wavelet domain producing subbands at each level of decomposition. Aggregation of subbands is performed across multiple levels to produce an accurate measure of image quality. By aggregating only selected subbands the computational complexity of the method is greatly reduced. 1. A method for determining a measure of quality for an image Y , characterizing a similarity between the image Y and a reference image X having same resolution , the method comprising: for each level i, with i ranging from 1 to N−1, intermediate subbands of the image X and the image Y for processing at level i+1; and', 'for the level N, approximation subbands containing respective main contents of the image X and the image Y, and respective detail subbands containing edges of the image X and the image Y;, '(a) applying an N level multiresolution decomposition, comprising levels 1, 2, . . . i, i+1, . . . N, to the image X and the image Y respectively, to produce(b) applying an image quality metric (IQM) to the approximation subband of the image X and the approximation subband of the image Y to produce an approximation quality measure characterizing similarity between the main content of the image X and the main content of the image Y;(c) at at least one level i, with i ranging from levels 1 to N−1, aggregating the intermediate subbands and the detail subbands, for the image X and the image Y respectively, to produce respective edge maps for the image X and the image Y, characterizing edges of the image X and the image Y respectively;(d) applying the IQM to the edge maps of the image X and the image Y to produce an edge quality measure characterizing similarity between the edges of the image X and the image Y; and(e) processing the approximation quality measure and the edge quality measure to determine the measure of quality.2. ...

OPTICAL QUALITY CONTROL SYSTEM

Disclosed are cooking devices having inspection systems including: a distance sensor and a digital optical recognition device. The distance sensor detects the position of the food product placed in the cooking device and the digital optical recognition device captures a series of images for the purpose of food product recognition. Once the food product is recognized, the operator is provided with the correct cooking cycle/program for the position and type of food product placed in the cooking device. The inspection systems also ensure that the food product has been properly cooked at the end of the cooking cycle/program. The inspection systems ensure: (1) the food product is correctly recognized; (2) the cooking cycle/program is correctly selected; (3) the correct cooking cycle/program is followed to completion and (4) the quality of the cooked food product meets expected standards. 1. An inspection system for providing a cooking cycle/program for food to be cooked in a cooking device , the cooking device including a cooking chamber for cooking food , the inspection system comprising:a distance sensor;a digital optical recognition device; andstored images of food to be cooked,wherein the distance sensor detects the location of placement of the food to be cooked in the cooking chamber,wherein the digital optical recognition device captures images of the food to be cooked,wherein the inspection system compares the captured images to the stored images of food to be cooked,wherein the inspection system recognizes the food to be cooked based upon the comparison, andwherein, based upon the detected location and the recognition of the food to be cooked, a cooking cycle/program for the food to be cooked is selected.2. The inspection system according to claim 1 , wherein the distance sensor and digital optical recognition device are disposed above an opening to the cooking chamber.3. The inspection system according to claim 1 , wherein the distance sensor is disposed below ...

METHOD OF FINDING POINT CORRESPONDENCES, DEVICE FOR PERFORMING THE METHOD, AND SYSTEM INCLUDING THE DEVICE

A method of finding point correspondences includes dividing a first left image into first sub regions and a first right image into second sub regions, detecting first feature points according to first threshold values respectively corresponding to the first sub regions and detecting second feature points according to the first threshold values respectively corresponding to the second sub regions, matching each of the first feature points with each of the second feature points, finding point correspondences in the matched feature points, and providing the point correspondences to an image processing device. 1. A method of finding point correspondences , the method comprising:dividing a first left image into first sub regions and a first right image into second sub regions;detecting first feature points according to first threshold values respectively corresponding to the first sub regions and detecting second feature points according to the first threshold values respectively corresponding to the second sub regions;matching each of the first feature points with each of the second feature points;finding point correspondences in the matched feature points; andproviding the point correspondences to an image processing device.2. The method of claim 1 , wherein the finding the point correspondences comprises:comparing a first feature vector of each of the first feature points with a second feature vector of each of the second feature points; andfinding the point correspondences in the matched feature points according to a comparison result and a second threshold value.3. The method of claim 1 , further comprising updating the first threshold values according to the feature points detected in the first left image or the first right image.4. The method of claim 3 , further comprising detecting feature points in a second left image and a second right image according to the first updated threshold values.5. The method of claim 2 , further comprising updating the second ...

Semantic Parsing of Objects in Video

Methods, systems, and computer program products for parsing objects in a video are provided herein. A method includes producing a plurality of versions of an image of an object, wherein each version has a different resolution of said image of said object, and computing an appearance score at each of a plurality of regions on the lowest resolution version for at least one semantic attribute for said object. Such a method also includes analyzing one or more other versions to compute a resolution context score for each of the plurality of regions in the lowest resolution version, wherein said resolution context score denotes an extent to which finer spatial structure exists in the one or more others versions than in the lowest resolution version, and determining a configuration of the at least one semantic attribute in the lowest resolution version based on the appearance score and the resolution context score. 1. A method comprising:producing a plurality of versions of an image of an object derived from a video input, wherein each version has a different resolution of said image of said object;computing an appearance score at each of a plurality of regions on the lowest resolution version of said plurality of versions of said image for at least one semantic attribute for said object, wherein said appearance score denotes a probability of the at least one semantic attribute appearing in the region;analyzing one or more other versions of the multiple versions to compute a resolution context score for each of the plurality of regions in the lowest resolution version, wherein said resolution context score denotes an extent to which finer spatial structure exists in the one or more others versions than in the lowest resolution version for each of the plurality of regions; anddetermining a configuration of the at least one semantic attribute in the lowest resolution version based on the appearance score and the resolution context score in each of the plurality of regions in ...

METHOD FOR PROVIDING SERVICE USING IMAGE RECOGNITION AND ELECTRONIC DEVICE THEREOF

A method for providing a service using an image recognition technology and an electronic device thereof are provided. The method for providing a service includes constructing a service screen, extracting an image from the service screen, determining personal information matching the extracted image, and executing an application program by using the personal information matching the image. 1. A method for providing a service in an electronic device , the method comprising:constructing a service screen;extracting an image from the service screen;determining personal information matching the extracted image; andexecuting an application program by using the personal information matching the image.2. The method of claim 1 , wherein the extracting of the image comprises:determining a detection region for image detection in the service screen; anddetecting an image in the detection region.3. The method of claim 2 , further comprising claim 2 , if not detecting the image in the detection region claim 2 , recognizing the detection region as one image.4. The method of claim 1 , wherein the image comprises at least one of a face image and a user image that is selected by a user.5. The method of claim 1 , wherein the personal information comprises user identification information comprising at least one of a name claim 1 , a phone number claim 1 , and an electronic mail (e-mail) address.6. The method of claim 1 , wherein the determining of the service information matching the image comprises:determining if at least one matching image matching the image extracted from the service screen exists among at least one matching image matching personal information; andif the at least one matching image matching to the image extracted from the service screen exists, determining personal information matching the matching image.7. The method of claim 6 , further comprising claim 6 , if the matching image matching the image extracted from the service screen does not exist among the at least ...

NANOFIBRE TAG

The present invention relates to the field of anti-counterfeit products. In particular, the invention is related to a method to produce anti-counterfeiting tags having unique nanofibre patterns. This unique nanofibres pattern is grown randomly at the edge of or underneath a masking means. 219-. (canceled)20. The tag product for anti-counterfeit purposes according to claim 1 , wherein said at least one boundary is identifiable by imaging.21. The tag product for anti-counterfeit purposes according to claim 20 , wherein said boundary is identifiable by microscopy.22. The tag product for anti-counterfeit purposes according to claim 20 , wherein said boundary is identifiable by imaging claim 20 , which obtains an optical image of the boundary area on said substrate between said at least one area where nanofibres are present at a lower concentration than other areas and said other areas.23. The tag product for anti-counterfeit purposes according to claim 20 , wherein said boundary area is within 150-250 μm from said at least one boundary towards said at least one area where nanofibres are present at a lower concentration than other areas.24. The tag product for anti-counterfeit purposes according to claim 23 , wherein said boundary area is between 250 μm from said at least one boundary into said at least one area where nanofibres are present at a lower concentration than other areas claim 23 , to 250 μm from said at least one boundary into said other areas.25. The tag product for anti-counterfeit purposes according to claim 1 , wherein said boundary is identifiable by imaging at a magnification in the range between 10× and 100×.26. The tag product according to claim 1 , further comprising a linker claim 1 , which joins said tag product to a member.27. The tag product according to claim 26 , wherein said linker comprises an adhesive element in contact with said support and in contact with said one or more areas of said substrate where one or more nanofibres have been grown ...

Method and apparatus for generating a visual story board in real time

An embodiment includes a method and an apparatus for the generation of a visual story board in real time in an image-capturing device including a photo sensor and a buffer, wherein the method includes the consecutively performed steps: starting the recording of a video, receiving information on an image frame of the video, comparing the information on the received image frame with information on at least one of a plurality of image frames wherein the information on the plurality of image frames has previously been stored in the buffer, storing the information on the received image frame in the buffer depending on the result of the comparison, and finishing the recording of the video.

Image Capture and Identification System and Process

A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object. 1. A recognition platform comprising:a non-transitory, tangible memory storing software instructions; and acquire the image data from an image sensor, the image data representing a beverage product,', 'recognize a portion of the beverage product from the image data as a target object,', 'identify content information associated with the target object, and', 'enable a device to have an interaction related to the portion of the beverage product based on the content information., 'a processor coupled with the memory and configured, according to the software instructions, to2. The platform of claim 1 , wherein the interaction comprises a transaction related to the content information.3. The platform of claim 1 , wherein the transaction comprises a commercial transaction.4. The platform of claim 3 , wherein the commercial transaction is associated with at least one of the following: a product purchase claim 3 , a product promotion claim 3 , a limited time promotion claim 3 , a reduced price promotion claim 3 , and a promotional price.5. The platform of claim 1 , wherein the interaction comprises an interaction between a company and the device.6. The platform of claim 1 , wherein the interaction comprises an on-line transaction.7. The platform of claim 1 , wherein the interaction comprises a vote registration.8. The platform of claim 1 , further comprising the device wherein the device is configured to operate as the recognition platform.9. The platform of claim 1 , further comprising a server wherein the server is configured to operate as the recognition platform over a network.10. The platform of claim 1 , wherein the recognition platform is further configured to obtain additional information in support of identifying the ...

Image Capture and Identification System and Process

A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object. 1. A system comprising:a mobile device connection configured to acquire a digital representation of a scene including an object from a mobile device; obtain the digital representation;', 'identify at least a portion of the object using a descriptor derived by applying a recognition algorithm to the digital representation;', 'identify target object information by comparing the descriptor to at least one descriptor in a data set storing object information addressable via descriptors; and', 'yield a ranked subset of the target object information, wherein the ranked subset is based on a ranking of a match quality of the descriptor to the at least one descriptor in the data set; and, 'an image processing platform configured towherein the mobile device is configured to receive the ranked subset of target object information and present digital content based on the ranked subset of target object information.2. The system of claim 1 , wherein the mobile device is further configured to present the digital content based on a time.3. The system of claim 1 , wherein the mobile device is further configured to present the digital content based on a location.4. The system of claim 1 , wherein the mobile device is further configured to present the digital content based on a time and a location.5. The system of claim 1 , wherein the object comprises a tag.6. The system of claim 1 , wherein the object lacks a tag.7. The system of claim 1 , wherein the descriptor comprises an invariant feature.8. The system of claim 7 , wherein the descriptor comprises a scale invariant feature.9. The system of claim 1 , wherein the image processing platform is further configured to discriminate an object from the scene by applying the recognition algorithm ...

Method of Image Identification Based on Artificial Intelligence

A method of image identification based on artificial intelligence is provided, the method includes initializing a second computer with a first computer supplying and accepting image data from the first computer to the second computer; comparing the delivered image data in the second computer to pre-existing stored images in the second computer; generating and displaying a first result if the delivered image data is the same as the stored image in the second computer and a second result if the delivered image data is not the same as the stored image data; and un initializing the second computer based on the first and second results. 1. A method of image identification , comprising:Initializing a second computer with a first computer;Supplying a set of sample image data from said first computer to said second computer;Comparing said set of sample image data in said second computer to pre-existing stored image data for a control image in said second computer;generating and displaying a first result if said sample image data is the same as said stored image data for said control image in said second computer and a second result if said sample image data is not the same as said stored image data for said control image in said second computer; and,un-initializing the second computer based on the first and second results.2. A method of image identification , wherein said sample image data includes image size parameters.3. A method of image identification , wherein said sample image data includes image pixel parameters.4. A method of image identification , wherein said sample image data includes a hash of image data parameters. This Application claims priority from Provisional Application 61/327,303 filed on Apr. 23, 2010, the teaching of which is incorporated fully herein by reference.The present invention relates generally to a computer hardware and software security method and, in particular, to a method of image identification using artificial intelligence. With the ...

APPARATUS AND METHOD FOR IMAGE MATCHING BETWEEN MULTIVIEW CAMERAS

An apparatus for image matching between multiview cameras includes a pattern model storing unit to store a pattern model, a matching processing unit to match the stored pattern model with a point cloud obtained by at least one depth camera, and a parameter obtaining unit to obtain a parameter for each of the at least one depth camera, based on a result of the matching. 1. An apparatus for image matching between multiview cameras , the apparatus comprising:a pattern model storing unit to store a pattern model;a matching processing unit to match the stored pattern model with a point cloud obtained by at least one depth camera; anda parameter obtaining unit to obtain a parameter for each of the at least one depth camera, based on a result of the matching.2. The apparatus of claim 1 , wherein the pattern model storing unit stores a pattern model represented by a gradient and a corner.3. The apparatus of claim 2 , wherein the pattern model storing unit stores a pattern model including claim 2 , as an object claim 2 , at least one gradation circle and the corner classified by a chess board.4. The apparatus of claim 1 , wherein the point cloud obtained by the at least one depth camera comprises at least one point and an intensity corresponding to a depth value with respect to the at least one point.5. The apparatus of claim 4 , wherein the matching processing unit determines a corner point corresponding to a corner associated with the pattern model claim 4 , among the at least one point included in the point cloud claim 4 , and primarily matches the determined corner point with the corner associated with the pattern model.6. The apparatus of claim 5 , wherein the matching processing unit secondarily matches the point cloud with the pattern model claim 5 , using the intensity corresponding to the depth value with respect to the at least one point claim 5 , and a gradient of the pattern model.7. The apparatus of claim 6 , wherein the matching processing unit secondarily ...

CARD RECOGNITION SYSTEM, CARD HANDLING DEVICE, AND METHOD FOR TUNING A CARD HANDLING DEVICE

A card recognition system comprises an imaging device configured to capture a raw image of at least a portion of a card, and a processor operably coupled with the imaging device. The processor is configured to perform an image processing analysis of the raw image to identify measurements of at least one of a rank area around a rank of the card, and a suit area around a suit of the card, and automatically generate a calibration file based, at least in part, on the image processing analysis. A card handling device comprises a card infeed, a card output, and a card recognition system. A method for tuning a card handling device comprises capturing a plurality of images from a deck of cards, storing the images in memory, analyzing the plurality of images for card identification information, and generating a calibration file including parameters associated with the card identification information. 1. A card recognition system , comprising:an imaging device configured to capture a raw image of at least a portion of a card; and perform an image processing analysis of the raw image to identify measurements related to at least one of a rank area around a rank of the card, and a suit area around a suit of the card; and', 'automatically generate a calibration file based, at least in part, on the image processing analysis., 'a processor operably coupled with the imaging device, the processor configured to2. The card recognition system of claim 1 , further comprising a memory operably coupled with the imaging device claim 1 , the memory configured to store a plurality of raw images received from the imaging device.3. The card recognition system of claim 2 , further configured to organize the plurality of raw images within the memory in the order received by the imaging device.4. The card recognition system of claim 1 , wherein the processor is further configured to store the calibration file in a subdirectory of a file system claim 1 , the subdirectory corresponding to a ...

ELECTRONIC CIGARETTE, CIGARETTE ROD, CIGARETTE CARTRIDGE AND RECOGNITION METHOD OF CIGARETTE CARTRIDGE

The present disclosure claims an electronic cigarette, a cigarette rod, a cigarette cartridge, and a recognition method of a cigarette cartridge, wherein the electronic cigarette includes: the cigarette rod and the cigarette cartridge. The cigarette rod includes: a battery and a controller, and the cigarette cartridge includes: an atomizer and a recognition information provider component connected with the atomizer, wherein the atomizer is connected with the controller via the recognition information provider component, wherein the recognition information provider component is configured to send recognition information to the controller, and the controller is configured to judge whether the cigarette rod and the cigarette cartridge are matched, and if so, allow the atomizer to work normally. Otherwise, the controller executes alarming or prohibits the atomizer from working normally. The present disclosure solves the technical problem of ineffective use of an electronic cigarette due to improper use of the electronic cigarette. 1. An electronic cigarette , comprises a cigarette rod and a cigarette cartridge , whereinthe cigarette rod comprises: a battery and a controller connected with the battery;the cigarette cartridge comprises: an atomizer and a recognition information provider component connected with the atomizer, wherein the atomizer is connected with the controller via the recognition information provider component, whereinthe controller comprises: a first interface,the recognition information provider component comprises: a second interface, andthe atomizer comprises: a first end,wherein the first interface, the second interface and the first end are all connected with a ground wire or a power wire;the controller further comprises: a third interface,the recognition information provider component further comprises: a fourth interface,the atomizer further comprises: a second end,wherein the fourth interface is connected with the third interface, and the second ...

ENVIRONMENT PERCEPTION USING A SURROUNDING MONITORING SYSTEM

An apparatus for environment perception using a monitoring system is described herein. The apparatus includes a plurality of sensors, wherein the plurality of sensors is to collect data. The apparatus also includes a controller to estimate motion based on the data and data from a plurality of cameras, wherein the data from the plurality of cameras is processed simultaneously. Additionally, the apparatus includes a matching unit to perform feature matching using the motion estimation and a perception unit to determine a 3D position of points in the environment. 1. An apparatus for environment perception using a monitoring system , comprising:a plurality of sensors, wherein the plurality of sensors is to collect data;a controller to estimate motion based on the data and data from a plurality of cameras, wherein the data from the plurality of cameras is processed simultaneously;a matching unit to perform feature matching using the motion estimation; anda perception unit to determine a 3D position of points in the environment based on the feature matching.2. The apparatus of claim 1 , wherein the points are used to render a 3D structure estimation.3. The apparatus of claim 1 , wherein the plurality of sensors includes velocity claim 1 , steering wheel change rate or yaw rate sensors.4. The apparatus of claim 1 , wherein sensor data is fused to determine a rough motion claim 1 , and the rough motion is refined using a CSBA.5. The apparatus of claim 1 , wherein the estimated motion is converted to all camera motions and is used during feature matching.6. The apparatus of claim 1 , the controller is to estimate motion using a Kalman filter.7. The apparatus of claim 1 , wherein the 3D position of points in the environment is provided to the matching unit in a feedback loop.8. The apparatus of claim 1 , wherein feature matching includes filtering outliers from a plurality of points.9. The apparatus of claim 1 , wherein the plurality of cameras form a rigid system.10. The ...

SYSTEM AND METHOD FOR AN AUGMENTED REALITY TAG VIEWER

A system and method for method for providing an augmented reality tag viewer are provided. The method includes receiving, by a device, a low-energy encrypted beacon from a tag attached to a product, the beacon uniquely identifies the product; retrieving information about the product identified by the received beacon; determining if the product is present in a field of view of a camera of the device; upon determining that the identified product is present in the field of view of the camera, matching the product in the field of view with the retrieved information; and upon determining that the product in the field of view matches the retrieved information, overlaying an interface over the display to highlight the product. 1. A method for providing an augmented reality tag viewer , comprising:receiving, by a device, a low-energy encrypted beacon from a tag attached to a product, the beacon uniquely identifies the product;retrieving information about the product identified by the received beacon;determining if the product is present in a field of view of a camera of the device;upon determining that the identified product is present in the field of view of the camera, matching the product in the field of view with the retrieved information; andupon determining that the product in the field of view matches the retrieved information, overlaying an interface over the display to highlight the product.2. The method of claim 1 , further comprising:displaying the field of view of the camera on a display.3. The method of claim 2 , wherein the retrieved information includes metadata on the identified product.4. The method of claim 1 , wherein the tag is at least a wireless low-energy tag.5. The method of claim 1 , wherein the tag is at least a wireless low-energy battery less tag that communicates with the device using a low-energy communication protocol.6. The method of claim 5 , wherein the low-energy communication protocol is at least a Bluetooth low energy (BLE) protocol.7. ...

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND PROGRAM

A device and a method for enabling safe traveling by performing image analysis and body identification using inter-vehicle communication information are realized. There are provided: an image analysis unit configured to analyze a captured image of a camera mounted on a mobile device, execute object identification of an image, and set a label as an identification result to an image region; a low-confidence region extraction unit configured to extract a region with low confidence of object identification from an image analysis result; and a label updating unit configured to update a label of the low-confidence region on the basis of information received via a communication unit. The label updating unit updates a label in a case where a matching rate between an object region analyzed from information received via the communication unit and the low-confidence region is equal to or greater than a specified threshold. 1. An information processing apparatus comprising:an image analysis unit configured to analyze a captured image of a camera, execute object identification of an image, and set a label as an identification result to an image region;a low-confidence region extraction unit configured to extract a low-confidence region with low confidence of object identification from an analysis result by the image analysis unit; anda label updating unit configured to update a label of the low-confidence region on a basis of information received via a communication unit.2. The information processing apparatus according to claim 1 , whereinthe label updating unitupdates a label of the low-confidence region in a case where a matching rate between an object region analyzed from information received via the communication unit and the low-confidence region is equal to or greater than a specified threshold.3. The information processing apparatus according to claim 1 , further comprising:a communication information analysis unit configured to analyze an object region from information ...

ARTICLE ESTIMATING SYSTEM, ARTICLE ESTIMATING METHOD, AND ARTICLE ESTIMATING PROGRAM

A server includes an extraction unit , an analysis unit , a first estimating unit , an information acquisition unit and a second estimating unit . The extraction unit extracts an image area for each article. The analysis unit analyzes the image area to acquire analysis information. The first estimating unit narrows down candidates estimated to correspond to the article in the image area based on the analysis information. When the candidates were able to be narrowed down, the information acquisition unit acquires additional information additional information of a reference article. The second estimating unit attempts a narrowing process based on the additional information of the reference article in addition to the analysis information, for the image area including a spine, which is an image area in which candidates were unable to be narrowed down. 19-. (canceled)10. An article estimating system configured to be able to acquire identification information for identifying an article and additional information for the article from a storage which stores the identification information and the additional information in association with each other for each of a plurality of articles each having a cover and a spine , the article estimating system comprising:at least one memory operable to store program code;at least one processor operable to read said program code and operate as instructed by said program code, said program code including:image acquisition code which acquires an image including the plurality of articles;extraction code which extracts, for each article, an image area showing the article from the acquired image;analysis code which analyzes the plurality of extracted image areas to acquire analysis information;first estimating code which attempts a process of narrowing down candidates of identification information estimated to correspond to the article in the image area among identification information of the plurality of articles stored in the storage to a ...

Occlusion Resistant Image Template Matching Using Distance Transform

A computing device performs matching between a target image and one or more template images. The computing device receives image data and performs an edge detection algorithm on the image data. The edge detection algorithm includes a distance metric based on angles between gradient vectors in the image data and gradient vectors in one or more templates. The computing device matches a building model to the image data based on results of the edge detection algorithm, wherein the building model is associated with the one or more templates. 1. A method comprising:receiving image data;performing an edge detection algorithm on the image data, wherein the edge detection algorithm includes a distance metric based on angles between gradient vectors in the image data and gradient vectors in one or more templates; andmatching a building model to the image data based on results of the edge detection algorithm, wherein the building model is associated with the one or more templates.2. The method of claim 1 , wherein the image data is aerial data.3. The method of claim 1 , wherein the distance metric is a function of variance.4. The method of claim 1 , further comprising:applying a gaussian algorithm to the image data;analyzing a gradient area around each of a plurality of pixels;calculating the gradient vector from the gradient area for each pixel; andcomparing the gradient vectors.5. The method of claim 4 , wherein the distance metric is based on a gradient vector with a largest magnitude.6. An apparatus comprising:at least one processor; andat least one memory including computer program code for one or more programs; the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to at least perform:receive image data;apply an operation to at least a portion of the image data to create a gradient;calculate a vector for the gradient;calculate a distance metric from the vector for the gradient and a template; andmatch a ...

SYSTEM AND METHOD OF BIOMETRIC ENROLLMENT AND VERIFICATION

A system and method for biometric enrollment and verification compares a test biometric image (e.g., of a fingerprint) with each of a plurality of reference biometric images of one or more enrolled users. Verification of a user as an enrolled user is based on the cumulative amount of overlap between the test image and the reference images. The reference images are defined during an enrollment process by comparing a plurality of sample images, identifying overlapping data in each of the images, computing one or more quality measures, and storing at least a portion of the sample images. The enrollment process is deemed complete when each quality measures meets or exceeds an associated threshold. 1. A biometric identification method comprising storing a plurality of reference biometric images of an organic tissue of a user in a reference database , wherein each of the reference biometric images has a predefined image size and at least partially overlaps at least one of the other reference biometric images , and wherein all of the reference biometric images arranged with their overlapping portions aligned has an area greater than the predefined image size.2. The method of claim 1 , wherein storing the reference biometric images comprises:providing a plurality of sample biometric images of the predefined image size from the user;comparing each of the sample biometric images with the other sample biometric images to identify overlapping data in the sample biometric images;computing an amount of unique, non-overlapping data in the sample biometric images;computing an amount of unique data relative to the predefined image size;arranging the plurality of biometric images with their overlapping portions aligned and computing the area of a bounding border encompassing the arranged biometric images relative to the predefined image size; andstoring at least a portion of the plurality of sample biometric images as a plurality of reference biometric images in the reference ...

SYSTEM AND METHOD FOR BIOMETRIC DETECTION BASED ON SWEAT DUCTS

A method of identifying an individual based on the individual's sweat duets, including recording one or more images of the sweat ducts of a selected position on the individual's skin with a camera that forms images from electromagnetic signals in the sub terahertz frequency range, and transferring the one or more images to a computer for processing. 1. A method of identifying an individual based on the individual s sweat ducts , comprising:recording one or more images of the sweat ducts of a selected position on the individual's skin with a camera that forms images from electromagnetic signals in the sub terahertz frequency range; andtransferring the one or more images to a computer for processing.2. The method according to claim 1 , further comprising comparing the images to previously recorded images of people to identify the individual based on the individual's sweat duct distribution.3. The method according to claim 1 , further comprising comparing the images to information on an identity card of the individual to verify that the individual matches the identity card.4. The method according to claim 1 , further comprising:illuminating the skin of the individual with a sub terahertz radiation source while recording the one or more images.5. The method according to claim 1 , wherein the sub terahertz frequency range includes electromagnetic signals with a frequency of between about 0.1 THz to 0.9 THz.6. The method according to claim 1 , wherein the one or more images include a sequence of images; and analyzing the sequence of images to identify chromatic changes as a function of time.7. The method according to claim 6 , further comprising identifying an increase or decrease in a stress level of the individual based on the chromatic change.8. The method according to claim 6 , further comprising determining an extent of the chromatic change.9. The method according to claim 8 , further comprising determining if the extent of the chromatic change exceeds a threshold ...

METHOD AND APPARATUS FOR RECOGNIZING A DEVICE

An apparatus, and computer program can recognize an IoT device. The apparatus, for example, may comprise at least one processor, and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to receive an indication of an identifier of another apparatus via wireless communication, retrieve an emission pattern, and display a representation of the emission pattern according to a time-synchronization signal, wherein the retrieved emission pattern and the received indication are associated with each other. Similar and related example apparatus and example computer programs are also provided. 1. An apparatus , comprising:at least one processor; andat least one memory including computer program code;the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to:generate an emission pattern; andtransmit an indication of an identifier of the apparatus via wireless communication,wherein the emission pattern and the transmitted indication are associated with each other.2. The apparatus according to claim 1 , wherein the emission pattern comprises at least one of an audio emission and a visual emission claim 1 , and wherein the visual emission comprises one of a pattern of Red-Green-Blue (RGB) Light-Emitting Diode (LED) claim 1 , a pattern of multiple monochrome Light-Emitting Diodes claim 1 , and an on-off pattern on a monochrome Light-Emitting Diode.3. The apparatus according to claim 1 , wherein the apparatus is further caused to generate the emission pattern by a random selection of the emission pattern by the apparatus.4. The apparatus according to claim 3 , wherein the apparatus is further caused to transmit an indication of the generated emission pattern in an advertising data via wireless communication.5. The apparatus according to claim 1 , wherein the apparatus is further caused to ...

TERMINAL CONTROL METHOD, IMAGE GENERATING METHOD, AND TERMINAL

A terminal control method executed by a computer, includes detecting that an image of a reference object is included in a captured image; and sending identification information that identifies the reference object or content associated with the reference object, position information that indicates a position of the reference object or the content in the captured image, and the captured image to an information processing apparatus that is configured to combine a content associated with received identification information, with a received captured image, based on received position information. 1. A terminal control method executed by a computer , the terminal control method comprising:detecting that an image of a reference object is included in a captured image; andsending identification information that identifies the reference object or content associated with the reference object, position information that indicates a position of the reference object or the content in the captured image, and the captured image to an information processing apparatus that is configured to combine a content associated with received identification information, with a received captured image, based on received position information.2. The terminal control method according to claim 1 , further comprising:sending information corresponding to accepting a fixing operation to the information processing apparatus, when the fixing operation to fix the position of displaying the content in a screen displaying the captured image, is accepted.3. The terminal control method according to claim 2 , wherein the fixing operation to fix the position of displaying the content is performed with respect to one or more of the reference objects or one or more of the contents displayed in the screen.4. The terminal control method according to claim 2 , further comprising:sending information corresponding to accepting a fix-releasing operation to the information processing apparatus, when the fix-releasing ...

MULTI-CAMERA VEHICLE IDENTIFICATION SYSTEM

A method and system of identifying in an image captured by a second camera a target object captured by a first camera is disclosed. The method comprises using image captured by the 1camera for generating a first set of objects comprising the target object and other objects; classifying each object to generate a reference group of attribute values characterizing the objects; using image captured by the 2camera for generating second sets of objects; classifying each object in each second set to generate, for each second set, a corresponding group of attribute values characterizing the objects in the corresponding second set; selecting the second set of objects corresponding to the group of attribute values best matching the reference group of attribute values; and identifying the target object in the selected second set of objects in accordance with a position of the target object in the first set of objects. 1. A method of identifying in an image captured by a second camera a target object captured by a first camera , the method implemented on a processor and comprising , by the processor:{'sup': 'st', 'using an image captured by the 1camera for generating a first set of n objects comprising the target object and (n−1) other objects;'}classifying each object in the first set to generate a reference group of attribute values characterizing the n objects;{'sup': 'nd', 'using an image captured by the 2camera for generating a plurality of second sets of objects, each second set of objects comprising n objects;'}classifying each object in each second set to generate, for each second set, a corresponding group of attribute values characterizing the objects in the corresponding second set;selecting the second set of objects corresponding to the group of attribute values best matching the reference group of attribute values; andidentifying the target object in the selected second set of objects in accordance with a position of the target object in the first set of objects.2. ...

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

An image processing apparatus performs distortion aberration correction appropriate for each of the cases where the image processing apparatus clips image data by performing electronic image stabilization and does not clip the image data by performing the electronic image stabilization. The image processing apparatus includes a correction unit configured to perform the distortion aberration correction on image data in which distortion aberration has, and a stabilization unit configured to perform clipping from the image data based on a movement of an imaging unit when the image data has been generated. The correction unit reduces an amount of the distortion aberration correction in a case where the stabilization unit does not clip the image data, as compared to a case where the stabilization unit clips the image data. 1. An image processing apparatus comprising:a correction unit configured to perform distortion aberration correction on a plurality of image data in which distortion aberration has occurred; anda combining unit configured to perform combining processing for combining the plurality of the image data by adjusting positions of the plurality of the image data based on a position of an object included in each piece of the plurality of the image data,wherein the correction unit reduces an amount of the distortion aberration correction in a case where the combining processing is not performed, as compared to a case where the combining processing is performed.2. The image processing apparatus according to claim 1 , wherein the combining unit combines a plurality of image data on which the correction unit has performed the distortion aberration correction.3. The image processing apparatus according to claim 1 , further comprising a transformation unit configured to perform projection transformation processing for performing tilt correction on an image on which the correction unit has performed the distortion aberration correction claim 1 ,wherein the combining ...

Tracking at Least One Pedestrian

Tracking at least one pedestrian is disclosed. Initially, four or more first images are received showing a first pedestrian and a roadway or a walkway. First static and dynamic characteristics and second static and dynamic characteristics of the first pedestrian are determined. The second static characteristic is compared to the first static characteristic and the second dynamic characteristic is compared to the first dynamic characteristic. It is then determined that the first pedestrian is traversing a portion of the roadway or the walkway. 1. A method of tracking at least one pedestrian , the method comprising:receiving four or more first images showing a first pedestrian and a roadway or a walkway;determining, based on one of the four or more first images, a first static characteristic of the first pedestrian;determining, based on another of the four or more first images, a second static characteristic of the first pedestrian;determining, based on two of the four or more first images, a first dynamic characteristic of the first pedestrian;determining, based on another two of the four or more first images, a second dynamic characteristic of the first pedestrian;comparing the second static characteristic to the first static characteristic;determining, in response to the comparison of the second static characteristic and the first static characteristic, that the second static characteristic is approximately equal to the first static characteristic;comparing the second dynamic characteristic to the first dynamic characteristic;determining, in response to the comparison of the second dynamic characteristic and the first dynamic characteristic, that the second dynamic characteristic is approximately equal to the first dynamic characteristic; and the first static characteristic and the second static characteristic are characteristics of the first pedestrian that are constant over time,', 'the first dynamic characteristic and the second dynamic characteristic are ...

INTELLIGENT VIDEO ANALYSIS SYSTEM AND METHOD

The present disclosure relates to an intelligent video analysis system and method and, more specifically, an intelligent video analysis system and method which provides an event by analyzing data acquired from a camera and a smart device. The an intelligent video analysis system and method system selects information by temporally and spatially matching information received from a camera and a smart device, determines based on the selected information whether a security event-relevant condition is satisfied, generates Customer Relationship Management (CRM) information, and outputs the CRM information and a security event, which is generated from the selected information. 1. An intelligent video analysis system for providing information on analysis of a video captured by a camera by spatially and temporally matching first metadata acquired from an image captured by the camera with second metadata generated by a smart device existing within a predetermined range distant from a location at which the camera is set up.2. The intelligent video analysis system of claim 1 , comprising:a selector configured to select the second metadata that corresponds to a point in time and a location at which the image is captured by the camera; anda security event analyzer configured to determine whether a preset security-relevant condition is satisfied, by analyzing the first metadata and the selected second metadata.3. The intelligent video analysis system of claim 2 , further comprising:a Customer Relationship Management (CRM) information analyzer configured to generate socio-demographic data in response to a request from a user, by analyzing the first metadata and the selected second metadata.4. The intelligent video analysis system of claim 3 , further comprising:an output component configured to display a determination made by the security event analyzer as to whether the preset security-relevant event condition is satisfied, and display the socio-demographic data which are ...

METHOD AND APPARATUS FOR IMAGE CAPTURING AND SIMULTANEOUS DEPTH EXTRACTION

A system for image capturing and depth extraction includes a camera and a data processor. The camera includes: a spectrum coded aperture including at least two regions that pass spectrum channels of an incident light field which are different from each other; and a sensor configured to record the at least two spectrum channels to form an image captured in a sensor basis. The data processor is configured to convert the image captured in the sensor basis into an image of a processing basis, extract a disparity from the image of the processing basis, and convert the disparity into depth information. 1. A system for image capturing and depth extraction , the system comprising:a lens system;a spectrum coded aperture including at least two regions that pass spectrum channels of an incident light field which are different from each other; anda sensor configured to record the at least two spectrum channels to form an image captured in a sensor basis; anda data processor configured to convert the image captured in the sensor basis into an image of a processing basis, extract a disparity from the image of the processing basis, and convert the disparity into depth information.2. The system of claim 1 , wherein the different spectrum channels form a basis of the spectrum coded aperture.3. The system of claim 2 , wherein the processing basis is different from the sensor basis and the basis of the spectrum coded aperture.4. The system of claim 1 , wherein the spectrum coded aperture has three regions including a transparent region in a central portion claim 1 , and two regions having spectrum bandwidths respectively corresponding to yellow and cyan.5. The system of claim 1 , wherein the at least two regions of the spectrum coded aperture have spectrum bandwidths respectively corresponding to yellow and cyan.6. The system of claim 1 , wherein the spectrum coded aperture includes three congruent regions having spectrum bandwidths respectively corresponding to yellow claim 1 , cyan ...

Visual matching assist apparatus and method of controlling same

The visual matching of two images is facilitated. An inspection tablet image and a genuine tablet image are each scanned by a local filter, correlation values between partial images and the local filter are calculated for every position of the local filter, and luminance images are generated using the calculated correlation values as luminance values. Multiple feature points where the luminance values are equal to or greater than a predetermined threshold value are determined in the luminance images and, based upon the multiple feature points, a registration parameter for eliminating relative offset between first and second images is calculated. The first luminance image and the second luminance image are brought into positional registration using the registration parameter calculated.

Diagnosis Assisting System, Diagnosis Assisting Method, and Program Thereof

When making a diagnosis by synthetically taking into account the information obtained by preparing a plurality of samples using different staining methods or the like and sequentially observing the samples, a diagnostician must remember information about the plurality of samples. 1. A biological tissue image display apparatus comprising:an image storage unit that stores a reference image obtained by photographing a prefixed stained sample and a comparison image obtained by photographing another stained sample, which are of substantially identical biological tissues;a partial image creation unit which detects a structure of the biological tissue from the reference image, cuts out from the comparison image a partial image including the structure detected, and stores into a partial image storage unit the partial image in association with the structure and the comparison image;an image output unit that outputs a result screen that includes the reference image and the partial image; andthe partial image storage unit.2. The biological tissue image display apparatus according to claim 1 , whereinthe image storage unit stores a plurality of comparison images each corresponding to the comparison image,the partial image creation unit detects a plurality of structures each corresponding to the structure from the reference image, cuts out from the plurality of comparison images partial images each corresponding to the partial image including one of the plurality of structures detected, and stores into the partial image storage unit the partial images each being in association with the structure and the comparison image, andthe image output unit creates a matrix in which identification information of the plurality of structures is arranged along a first axis of the result screen and in which identification information of the plurality of comparison images is arranged along a second axis of the result screen, and arranges the partial images in cells of the matrix, the cells being ...

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD WHICH LEARN DICTIONARY

An image processing apparatus includes a plurality of dictionaries configured to store a feature of an object and information on an imaging direction in a scene for each kind of imaged scene, a detecting unit configured to detect an object with reference to at least one of the plurality of dictionaries in the scene in which the object has been imaged and which is to be learned, an estimating unit configured to estimate the imaging direction the detected object, a selecting unit configured to select one dictionary from the plurality of dictionaries based on the imaging direction estimated by the estimating unit and the information on the imaging direction in each of the plurality of dictionaries, and a learning unit configured to learn the dictionary selected by the selecting unit, based on a detection result produced by the detecting unit. 1. An image processing apparatus comprising:a plurality of dictionaries configured to store information of a feature and an imaging direction of an object in scenes of imaging, per each kind of the scenes;a detecting unit configured to detect the object from the scene in which the object is imaged and is subjected to a learning, by reference to at least one of the plurality of dictionaries;an estimating unit configured to estimate the imaging direction of the object detected;a selecting unit configured to select a dictionary from the plurality of dictionaries, based on the imaging direction estimated by the estimating unit and the information of the imaging direction stored in each of the plurality of dictionaries; anda learning unit configured to perform a learning of the selected dictionary based on a result of the detection by the detecting unit.2. The image processing apparatus according to claim 1 , whereinthe selecting unit derives a direction adaptability of each of the plurality of dictionaries based on the imaging direction estimated by the estimating unit and the information of the imaging direction stored in each of the ...

INFRARED SELECTING DEVICE AND METHOD

This invention provides an infrared selecting device and method, which relates to a thermal imaging device, a thermal image processing device, and infrared thermal imaging detection. The conventional thermal imaging device is excessively dependent on subjective experience of users to photograph a thermal image of a body, causing great workload and failing to ensure the quality of the thermal image. In the invention, a reference image is displayed, specified information of a specified body thermal image can be automatically detected from the acquired thermal imaging data frame, or auxiliary information is considered. Thus, the thermal imaging data frame satisfying a specified condition can be automatically selected from the continuously acquired thermal imaging data frames, thereby facilitating subsequent processing or operation, such as inform, analysis, or storage, simplifying photographing operation, and improving the photographing speed and the quality of the thermal image. 150-. (canceled)51. An infrared selecting device , comprising:an acquiring part for continuously acquiring a thermal imaging data frame;a display controlling part for controlling to display a reference image and a dynamic infrared thermal image acquired according to the acquired thermal imaging data frame;a detecting part for detecting specified information related to a specified body thermal image based on the acquired thermal imaging data frame;a comparing part for comparing the specified information acquired by the detecting part, an evaluating value acquired according to the specified information acquired by detection, or a combination thereof, with a specified comparing value;a selecting part for selecting special information related to the specified thermal imaging data frame based on a comparing result of the comparing part.52. The infrared selecting device according to claim 51 , wherein the specified information at least comprises a position claim 51 , a dimension claim 51 , an ...

Drug inspection device

Embodiments of the present invention provide a high accuracy medicament inspection device and system to inspect medicaments enclosed in a package with a printing area. The medicament inspection device implements a medicament information detection process that includes: a medicament candidate area extraction step extracting a dark colored area in a back side illuminated image as a medicament candidate area A (assumed presence of medicament); a print candidate area extraction step extracting an area containing the print on the package based on a front side illuminated image as a print candidate area B; a print area identification step specifying an area corresponding to the print contained in the print candidate area B based on the brightness distribution of the back side illuminated image as a print area C; and a medicament area identification step identifying a medicament area X by subtracting the print area C from the medicament candidate area A.

METHOD OF AND APPARATUS FOR PROCESSING GRAPHICS

A scene to be rendered is divided into plural individual sub-regions or tiles. The individual sub-regions are also grouped into differing groups of sets of plural sub-regions. There is a top level layer comprising a set of 8×8 sub-regions which encompasses the entire scene area. There is then a group of four 4×4 sets of sub-regions, then a group of sixteen 2×2 sets of sub-regions, and finally a layer comprising the 64 single sub-regions. A primitive list building processor takes each primitive in turn, determines a location for that primitive, compares the primitive's location with the locations of the sub-regions and the locations of the sets of sub-regions, and allocates the primitive to respective primitive lists for the sub-regions and sets of sub-regions accordingly. 1. An apparatus for sorting graphics primitives for rendering in a graphics processing system in which a scene to be rendered is divided into a plurality of sub-regions for rendering , each sub-region including a respective area of the scene to be rendered , the apparatus comprising:at least one processor configured to prepare a set of plural first lists of primitives, each first list of primitives in the set of first lists of primitives being exclusive to a respective single sub-region of the scene and listing primitives for rendering for that single sub-region of the scene;wherein the at least one processor is further configured to prepare a set of plural second lists of primitives, the set of plural second lists of primitives being in addition to the set of plural first lists of primitives, and each second list of primitives in the set of second lists of primitives being a list of primitives to be used for a respective set of at least two sub-regions of the scene in common and listing primitives for rendering for that set of at least two sub-regions of the scene; andwherein:the at least one processor prepares the set of first primitive lists and the set of second primitive lists by, for each ...

SYSTEMS AND METHODS FOR APPEARANCE MAPPING FOR COMPOSITING OVERLAY GRAPHICS

Systems and methods for overlaying a second image/video data onto a first image/video data are described herein. The first image/video data may be intended to be rendered on a display with certain characteristics—e.g., HDR, EDR, VDR or UHD capabilities. The second image/video data may comprise graphics, closed captioning, text, advertisement—or any data that may be desired to be overlaid and/or composited onto the first image/video data. The second image/video data may be appearance mapped according to the image statistics and/or characteristics of the first image/video data. In addition, such appearance mapping may be made according to the characteristics of the display that the composite data is to be rendered. Such appearance mapping is desired to render a composite data that is visually pleasing to a viewer, rendered upon a desired display. 1. A method for overlaying a second image over a first image , the method comprising:receiving said first image and said second image, said first image differing in dynamic range and size than said second image;receiving first metadata regarding said first image;receiving second metadata regarding said second image;performing appearance mapping of said second image to determine an adjusted second image, said adjusted second image differing in dynamic range than said second image, according to said first metadata and said second metadata; andforming a composite image overlaying said adjusted second image onto at least a portion of said first image.2. The method of wherein said first image comprises one of a group claim 1 , said group comprising: HDR image/video claim 1 , EDR image/video and VDR image/video.3. The method of wherein receiving first metadata regarding said first image further comprises:receiving image statistics regarding said first image.4. The method of wherein said image statistics comprises one of a group claim 3 , said group comprising: average luminance claim 3 , minimum luminance claim 3 , mean luminance ...

METHOD AND SYSTEM FOR AUTOMATICALLY ALIGNING MODELS OF AN UPPER JAW AND A LOWER JAW

A method for automatically aligning a model for an upper jaw with a model for a lower jaw, the method including forming models for teeth of the upper jaw and the lower jaw based on images; obtaining a reference bite frame with the teeth in a clenched state; aligning the models for the teeth of the upper jaw and the lower jaw with the reference bite frame, respectively, to determine transform information between the generated models and the reference bite frame; aligning the model for the teeth of the upper jaw with that of the lower jaw based on the determined transform information. 1. A method for automatically aligning a model for an upper jaw with a model for a lower jaw , including:a. forming a model for teeth of the upper jaw based on respective images;b. forming a model for teeth of the lower jaw based on respective images;c. obtaining a reference bite frame with the teeth of the upper jaw and lower jaw in a clenched state;d. aligning the model for the teeth of the upper jaw and the model for the teeth of the lower jaw with the reference bite frame, respectively, to determine transform information between the generated models and the reference bite frame;e. aligning the model for the teeth of the upper jaw with the model for the teeth of the lower jaw based on the determined transform information.2. The method of claim 1 , wherein the step a includesi. reconstructing three dimensional surfaces for the teeth of the upper jaw from the respective images;ii. generating a model for the teeth of the upper jaw from the reconstructed three dimensional surfaces for the teeth of the upper jaw; and wherein the step b includesiii. reconstructing three dimension surfaces for the teeth of the lower jaw from the respective images;iv. generating a model for the teeth of the lower jaw from the reconstructed three dimensional surfaces for the teeth of the lower jaw.3. The method of claim 1 , wherein the step c includes:capturing images for a part of all teeth;reconstructing ...

LICENSE PLATE IDENTIFICATION METHOD AND SYSTEM THEREOF

A license plate identification method is provided, including steps of: obtaining a to-be-processed image including all characters on a license plate; extracting several feature maps corresponding to character features of the to-be-processed image through a feature map extraction module; for each of the characters, extracting a block and a coordinate according to the feature maps through a character identification model based on a neural network; and obtaining a license plate identification result according to the respective blocks and the respective coordinates of the characters. 1. A license plate identification method , comprising steps of:obtaining a to-be-processed image comprising all of characters on a license plate;extracting a plurality of feature maps comprising character features of the to-be-processed image through a feature map extraction module;for each of the characters, extracting a block and a coordinate according to the feature maps through a character identification model based on a neural network; andobtaining a license plate identification result according to the respective blocks and the respective coordinates of the characters.2. The license plate identification method as claimed in claim 1 , further comprising following steps of:receiving a raw image;extracting a historical background image through a foreground and background subtraction module;comparing the raw image with the historical background image to determine an amount of image change; anddetermining whether the amount of image change is greater than a predetermined value,wherein when the amount of image change is greater than the predetermined value, the to-be-processed image comprising all of the characters is generated.3. (canceled)4. The license plate identification method as claimed in claim 1 , further comprising steps of:receiving a raw image;obtaining a vehicle front image or a vehicle rear image from the raw image through a vehicle front image capturing module or a vehicle ...

Determining an item that has confirmed characteristics

In various example embodiments, a system and method for determining an item that has confirmed characteristics are described herein. An image that depicts an object is received from a client device. Structured data that corresponds to characteristics of one or more items are retrieved. A set of characteristics is determined, the set of characteristics being predicted to match with the object. An interface that includes a request for confirmation of the set of characteristics is generated. The interface is displayed on the client device. Confirmation that at least one characteristic from the set of characteristics matches with the object depicted in the image is received from the client device.

SURROUND VIEW MONITORING SYSTEM AND METHOD

Disclosed is a surround view monitoring system comprising: a plurality of cameras provided in a vehicle, the cameras being configured to capture first images of surroundings of the vehicle; a non-volatile memory configured to store second images captured by the cameras or position information of the cameras in the vehicle; and a processor configured to match the first images captured by the cameras relative to one another based on the second images or the position information stored in the non-volatile memory. 1. A surround view monitoring system comprising:a plurality of cameras provided in a vehicle, the cameras being configured to capture first images of surroundings of the vehicle;a non-volatile memory configured to store second images captured by the cameras or position information of the cameras in the vehicle; anda processor configured to match the first images captured by the cameras relative to one another based on the second images or the position information stored in the non-volatile memory.2. The surround view monitoring system according to claim 1 , wherein the plurality of cameras comprise:a front camera configured to capture an image of a front of the vehicle;a rear camera configured to capture an image of a rear of the vehicle;a left camera configured to capture an image of a left of the vehicle; anda right camera configured to capture an image of a right of the vehicle.3. The surround view monitoring system according to claim 1 , wherein the second images stored in the non-volatile memory are images captured by the cameras in a state in which positions of the cameras are corrected.4. The surround view monitoring system according to claim 1 , wherein the position information stored in the non-volatile memory is position information about movement or rotation of the cameras in a state in which positions of the cameras are corrected.5. The surround view monitoring system according to claim 1 , wherein the processor is configured to extract features ...

Human facial detection and recognition system

Aspects of the present disclosure provide an image-based face detection and recognition system that processes and/or analyzes portions of an image using “image strips” and cascading classifiers to detect faces and/or various facial features, such an eye, nose, mouth, cheekbone, jaw line, etc.

SYSTEM AND METHOD FOR AUGMENTED REALITY DISPLAY OF ACCOUNT INFORMATION

A method is provided for displaying an augmented reality image of account information associated with an indicialess transaction card having a card surface with a background pattern applied thereto. A real-time image of the card surface is captured and processed to determine if the background pattern matches a card background pattern associated with a cardholder account. Responsive to a positive determination, communication is established between the user device processor and a card processor carried by the indicialess transaction card. The user device processor receives from the card processor an encrypted verification block and transmits, to an authentication server, an authentication request including the verification block. Responsive to receiving a positive authentication response, the user device constructs an augmented reality image comprising account indicia and displays the augmented reality image superimposed over the real-time image of the background pattern on the card surface of the indicialess transaction card. 1. An augmented-reality transaction card information display method for use with an indicialess transaction card having a card surface with a non-unique background pattern applied thereto and being capable of contactless communication , the method comprising:capturing, by a digital camera of a user device, a real-time image of the card surface of the indicialess transaction card,processing, by a processor of the user device, the captured real-time image to determine if the non-unique background pattern of the indicialess transaction card matches a card background pattern associated with a provider of a cardholder account associated with the user device; and establishing contactless communication between the user device processor and a card processor carried by the indicialess transaction card,', 'receiving, by the user device processor from the card processor, an encrypted verification block encrypted by the card processor,', 'transmitting, by ...

Information suggestion system, information suggestion method, program, and recording medium

In the information suggestion system, the information suggestion method, the program, and the recording medium, an image group acquisition unit acquires an image group of a user, and an image analysis unit detects an attribute of each image. An imaging number count unit counts an imaging number of same-attribute images, and an imaging frequency calculation unit calculates an imaging frequency of the same-attribute images. An imaging purpose estimation unit estimates an imaging purpose of the same-attribute images. A suggestion decision unit decides whether or not to suggest information on a product related to the imaging purpose of the same-attribute images to the user depending on whether the imaging number and the imaging frequency of the same-attribute images satisfy a predetermined condition, and an information suggestion unit suggests information on a product decided to be suggested to the user.

ARTIFICIAL INTELLIGENCE BASED METHOD AND APPARATUS FOR PROCESSING INFORMATION

The present disclosure discloses an artificial intelligence based method and apparatus for processing information. A specific embodiment of the method includes: acquiring a search record set within a preset time period; matching the search record set with an encyclopedia entry set, and selecting a first set of points of interest from the encyclopedia entry set according to a match result; matching the search record set with a microblog topic set, and selecting a second set of points of interest from the microblog topic set according to a match result; and adding the first set of points of interest and the second set of points of interest to a set of points of interest. This embodiment achieves an accurate acquisition of the points of interest, thus facilitating the implementation of a targeted information push. 1. An artificial intelligence based method for processing information , the method comprising:acquiring a search record set within a preset time period;matching the search record set with an encyclopedia entry set, and selecting a first set of points of interest from the encyclopedia entry set according to a match result;matching the search record set with a microblog topic set, and selecting a second set of points of interest from the microblog topic set according to a match result; andadding the first set of points of interest and the second set of points of interest to a set of points of interest.2. The method according to claim 1 , wherein a search record comprises a search formula and a search volume claim 1 , an encyclopedia entry comprises an entry name and an entry content; andthe matching the search record set with an encyclopedia entry set, and selecting a first set of points of interest from the encyclopedia entry set according to a match result comprises:matching search formulae of search records in the search record set with entry contents of encyclopedia entries in the encyclopedia entry set, acquiring successfully matched encyclopedia entries ...

Dual mode inspector

A dual mode inspector includes an optical inspector configured to detect a defect located at a first location on a sample, a microscope configured to capture an image of the defect at the first location on the sample, and a platform that is configured to support the sample. The sample is not removed from the platform between the detecting of the defect located at the first location on the sample and the capturing of the image of the defect at the first location on the sample. The dual mode optical inspector also includes a controller that causes the optical inspector to detect the defect located at the first location on the sample and causes the microscope to capture the image of the defect at the first location on the sample. The dual mode inspector also performs scanning lens distortion correction to improve the capturing of defect images.

METHODS AND SYSTEMS FOR DETECTING A CENTERLINE OF A VESSEL

This application disclosures a method and system for detecting a centerline of a vessel. The method may include obtaining image data, wherein the image data may include vessel data; selecting two endpoints of the vessel based on the vessel data; transforming the image data to generate a transformed image based on at least one image transformation function; and determining a path of the centerline of the vessel connecting the first endpoint of the vessel and the second endpoint of the vessel to obtain the centerline of the vessel based on the transformed image. The two endpoints of the vessel may include a first endpoint of the vessel and a second endpoint of the vessel. 1. A method for detecting a centerline of a vessel , comprising:obtaining image data, wherein the image data includes vessel data;selecting two endpoints of the vessel including a first endpoint and a second endpoint based on the vessel data;transforming the image data to generate a transformed image based on at least one image transformation function; anddetermining a path of the centerline of the vessel connecting the first endpoint and the second endpoint to obtain the centerline of the vessel based on the transformed image.2. The method of claim 1 , the image data further comprising data of a vessel mask.3. The method of claim 2 , further comprising:identifying the vessel data based on the data of the vessel mask.4. The method of claim 3 , the identifying the vessel data comprising:determining a plurality of connected domains of the data of the vessel mask;dividing a symmetrical region based on a symmetry among the plurality of connected domains; anddetermining vessel data with the largest connected domain in the symmetrical region.5. The method of claim 3 , the identifying the vessel data comprising:determining sizes of candidate vessels based on the data of the vessel mask; andidentifying a candidate vessel with the largest size among the candidate vessels.6. (canceled)7. The method of claim 2 ...

AUTHENTICATION DEVICE AND AUTHENTICATION METHOD

An authentication device that uses biometric authentication includes an acquisition unit configured to acquire first biometric information of a user, a storage unit configured to store second biometric information which is preregistered, a processing unit configured to obtain an authentication determination value based on similarity between the first biometric information acquired by the acquisition unit and the second biometric information stored in the storage unit, and a decision unit configured to decide a service providable to the user based on the authentication determination value and a plurality of thresholds to which different services are respectively assigned. 1. An authentication device that uses biometric authentication , the authentication device comprising:an acquisition unit configured to acquire first biometric information of a user;a storage unit configured to store second biometric information, the second biometric information being preregistered;a processing unit configured to obtain an authentication determination value based on similarity between the first biometric information acquired by the acquisition unit and the second biometric information stored in the storage unit; anda decision unit configured to decide a service providable to the user based on the authentication determination value and a plurality of thresholds to which different services are respectively assigned.2. The authentication device according to claim 1 , wherein the processing unit obtains a higher authentication determination value as the number of matching feature points or similar feature points between the first biometric information and the second biometric information is increased.3. The authentication device according to claim 2 , wherein the decision unit decides that a service assigned to a threshold satisfied by the authentication determination value among the thresholds is the service providable to the user.4. The authentication device according to claim 3 , ...

INFORMATION PROCESSING APPARATUS, METHOD OF CONTROLLING INFORMATION PROCESSING APPARATUS, AND STORAGE MEDIUM

An information processing apparatus, comprising: a control unit configured to control a pattern that a projection apparatus projects onto an object; an obtainment unit configured to obtain a plurality of images respectively captured at a plurality of times by a plurality of image capturing apparatuses that capture the object onto which the pattern has been projected; and a measurement unit configured to measure range information of the object by performing matching, between images respectively captured by the plurality of image capturing apparatuses, using information of temporal change of pixel values of the images. 1. An information processing apparatus , comprising:a control unit configured to control a pattern that a projection apparatus projects onto an object;an obtainment unit configured to obtain a plurality of images respectively captured at a plurality of times by a plurality of image capturing apparatuses that capture the object onto which the pattern has been projected; anda measurement unit configured to measure range information of the object by performing matching, between images respectively captured by the plurality of image capturing apparatuses, using information of temporal change of pixel values of the images.2. The information processing apparatus according to claim 1 , further comprising:a position and orientation obtainment unit configured to obtain relative position and orientation information for a plurality of times between the object and an image capturing apparatus,wherein the measurement unit selects pixels for which to perform the matching based on the position and orientation information for the plurality of times, and uses information of temporal change of pixel values of the selected pixels to perform the matching.3. The image processing apparatus according to claim 1 , further comprising:a setting unit configured to set a temporal and spatial shape of a block to use in the matching, based on a magnitude of movement of the object in ...

Systems and methods of feature correspondence analysis

A method and system, the method including receiving semantic descriptions of features of an asset extracted from a first set of images; receiving a model of the asset, the model constructed based on a second set of a plurality images of the asset; receiving, based on an optical flow-based motion estimation, an indication of a motion for the features in the first set of images; determining a set of candidate regions of interest for the asset; determining a region of interest in the first set of images; iteratively determining a matching of features in the set of candidate regions of interest and the determined region of interest in the first set of images to generate a record of matches in features between two images in the first set of images; and displaying a visualization of the matches in features between two images in the first set of images.

MAGNETIC RESONANCE FINGERPRINTING BASED ON BLOCH MANIFOLD AND SPATIAL REGULARIZATIONS IN PARALLEL

Systems and methods are provided for iterative reconstruction of a magnetic resonance image using magnetic resonance fingerprinting. An image series is estimated according to the following four steps: a gradient step to improve data consistency, fingerprint matching, spatial regularization, and a merging step. The fingerprint matching and spatial regularization steps are performed in parallel. 1. A method for generating a reconstructed image of an object , the method comprising:acquiring one or more compressed images from one or more magnetic resonance k-space signals obtained from the object; updating the one or more compressed images with a gradient;', 'applying fingerprint matching to the one or more updated compressed images to generate one or more first compressed images;', 'applying spatial regularization to the one or more updated compressed images to generate one or more second compressed images;', 'merging the one or more first compressed images and the one or more second compressed images, wherein the one or more merged compressed images are used as input for a subsequent iteration; and, 'iteratively reconstructing an image, wherein each iteration comprisesdisplaying the reconstructed image.2. The method of claim 1 , wherein the steps of applying fingerprint matching and applying spatial regularization are performed concurrently.3. The method of claim 1 , wherein the step of applying fingerprint matching further comprises:compressing a dictionary to a value of a rank of the dictionary; andsearching the compressed dictionary for a representative magnetic resonance fingerprint.4. The method of claim 3 , wherein the value of the rank is between 5 and 20.5. The method of claim 3 , wherein the value of the rank is 10.6. The method of claim 3 , wherein the value of the rank is that of a contrast image data volume reshaped in a matrix form of size comprising a number of pixels multiplied by a number of time points.7. The method of claim 1 , wherein the step of ...

Remote Collaboration Methods and Systems

Apparatus and associated methods relate to immersive collaboration based on configuring a real scene VRE operable from a real scene and a remote VRE operable remote from the real scene with an MR scene model of the real scene, creating an MR scene in each of the real scene VRE and remote VRE based on augmenting the MR scene model with an object model, calibrating the remote MR scene to correspond in three-dimensional space with the real scene MR scene model, and automatically providing immersive collaboration based on the MR scene in the remote VRE and updating the real scene VRE with changes to the remote VRE. In an illustrative example, the MR scene model of the real scene may be determined as a function of sensor data scanned from the real scene. In some embodiments, the MR scene model may be augmented with an object model identified from the real scene. The object model identified from the real scene may be, for example, selected from a known object set based on matching sensor data scanned from the real scene with an object from a known object set. In some embodiments, the remote MR scene may be calibrated based on applying a three-dimensional transform calculated as a function of the real MR scene and remote MR scene geometries. Some designs may recreate a subset of the real scene in the remote VRE and update the real scene VRE with changes to the remote VRE. Various embodiments may advantageously provide seamless multimedia collaboration based on updates to the remote VRE in response to physical changes to the real scene, and updating the real scene VRE in response to changes in the remote VRE. 1. A process to provide immersive collaboration , comprising:configuring a real scene VRE operable from a real scene and a remote VRE operable remote from the real scene with an MR scene model of the real scene;creating an MR scene in each of the real scene VRE and remote VRE based on augmenting the MR scene model with an object model;calibrating the remote MR scene to ...

TEMPERATURE COMPENSATION FOR STRUCTURED LIGHT DEPTH IMAGING SYSTEM

Disclosed are an apparatus and a method of compensating temperature shifts of a structured light pattern for a depth imaging system. In some embodiments, a depth imaging device includes a light source, an imaging sensor and a processor. The light source emits light corresponding to a pattern. A temperature drift of the light source can cause a shift of the pattern. The imaging sensor receives the light reflected by environment in front of the depth imaging device and generates a depth map including a plurality of pixel values corresponding to depths of the environment relative to the depth imaging device. The processor estimates the shift of the pattern based on a polynomial model depending on the temperature drift of the light source. The processor further adjusts the depth map based on the shift of the pattern. 1. A depth imaging device , comprising: receive light as reflected by an environment of the depth imaging device;', 'generate, based on the light, a depth map including a plurality of pixel values corresponding to depths of the environment relative to the depth imaging device;, 'an imaging sensor configured toa temperature sensor configured to measure a temperature drift from a reference temperature of one or more of a light source, an optical component of the depth imaging device, or the environment of the depth imaging device; and estimate a shift of a pattern of the light based on the temperature drift; and', 'adjust the depth map based on the shift of the pattern., 'a processor configured to2. The depth imaging device of claim 1 , wherein the pattern is a speckle pattern corresponding to a reference image including a plurality of dots claim 1 , each of the dots of the plurality of dots having known coordinates in the reference image.3. The depth imaging device of claim 1 , wherein the shift of the pattern is estimated by using a polynomial model depending on the temperature drift.4. The depth imaging device of claim 3 , wherein the polynomial model is ...

THREE-DIMENSIONAL IMAGING USING FREQUENCY DOMAIN-BASED PROCESSING

A brightness image of a scene is converted into a corresponding frequency domain image and it is determined whether a threshold condition is satisfied for each of one or more regions of interest in the frequency domain image, the threshold condition being that the number of frequencies in the region of interest is at least as high as a threshold value. The results of the determination can be used to facilitate selection of an appropriate block matching algorithm for deriving disparity or other distance data and/or to control adjustment of an illumination source that generates structured light for the scene. 1. An imaging system comprising:an illumination source operable to generate structured light with which to illuminate a scene;a depth camera sensitive to light generated by the illumination source and operable to detect optical signals reflected by one or more objects in the scene, the depth camera being further operable to convert the detected optical signals to corresponding electrical signals representing a brightness image of the scene; transform the brightness image into a corresponding frequency domain image;', 'determine whether a threshold condition is satisfied for each of one or more regions of interest in the frequency domain image, the threshold condition being that the number of frequencies in the region of interest is at least as high as a threshold value; and', 'generate a control signal to adjust an optical power of the illumination source if it is determined that the threshold condition is satisfied for fewer than a predetermined minimum number of the one or more regions of interest., 'one or more processor units operable collectively to receive the electrical signals from the depth camera and operable collectively to2. The imaging system of wherein the threshold condition is that the number of frequencies claim 1 , which have an amplitude at least as high as a threshold amplitude claim 1 , is at least as high as the threshold value.3. The ...

MOBILE COMMUNICATION TERMINAL, AND SYSTEM AND METHOD FOR SAFETY SERVICE USING SAME

The present invention provides a mobile communication terminal and a system and method for safety service using the terminal for checking the user's location and a situation of the surroundings of the user at the time of an emergency such as kidnapping, accident, and so on. 1. A method for providing safety service of a server , comprising:in case a first terminal including a camera is set to emergency mode, receiving image data of surroundings captured by the camera from the first terminal; andtransmitting the received image and location information of the first terminal to a second terminal.2. The method of claim 1 , wherein the first terminal is a terminal for a ward and the second terminal is a terminal for a guardian.3. The method of claim 1 , wherein when an emergency mode set-up command is transmitted from the second terminal to the first terminal claim 1 , the first terminal is set to the emergency mode.4. The method of claim 1 , further comprising:transmitting the received image data or the location information of the first terminal to at least one of a police server, a security service server and a broadcasting business server at the time of the emergency mode.5. The method of claim 1 , further comprising:compensating the location information of the first terminal by comparing the received image data with a previously stored image map.6. The method of claim 5 , wherein the compensating comprises determining whether the pre-stored image map matches the received imaged data.7. The method of claim 6 , wherein in case the pre-stored image map matches the received image data claim 6 , outputting current location information of the first terminal identified by the server.8. The method of claim 6 , wherein in case the pre-stored image map does not match the received image data claim 6 , acquiring a position on the image map that matches the received image data by comparing the received image data with an image map containing the area within a preset radius from ...

Method and Apparatus for Displaying Conference Material in Video Conference

A method and an apparatus for displaying a conference material in a video conference. The method includes determining a position coordinate of a first specified user at a conference site; collecting a video image signal of the conference site, segmenting the video image signal of the conference site according to the position coordinate to acquire a video image signal of the first specified user, and acquiring a video data signal of a displayed conference material; and synthesizing the video image signal of the first specified user and the video data signal of the conference material into one channel of encoded video signal, and sending the channel of encoded video signal to another conference site for signal decoding and for displaying on a same display screen at the other conference site. 1. A method for displaying a conference material in a video conference , comprising:determining a position coordinate of a first specified user at a conference site;collecting a video image signal of the conference site;segmenting the video image signal of the conference site according to the position coordinate to acquire a video image signal of the first specified user;acquiring a video data signal of a displayed conference material;synthesizing the video image signal of the first specified user and the video data signal of the conference material into one channel of encoded video signal andsending the channel of encoded video signal to a second conference site for signal decoding and for displaying on a same display screen at the second conference site.2. The method according to claim 1 , further comprising:determining a position coordinate of at least one second specified user at the conference site, wherein the at least one second specified user is at the same conference site as the first specified user; andsegmenting the video image signal of the conference site according to the determined the position coordinate of the at least one second specified user to acquire a video ...

FRAME BLOCK COMPARISON

Various arrangements for testing video decoder device functionality are presented. A video frame decoded by a video decoder device under test may be received. The received video frame may be segmented into a plurality of blocks. A first value may be calculated for a first block of the plurality of blocks of the received video frame using pixel values of pixels present within the first block. The first value may be compared to a first reference value. The first reference value may correspond to a first reference block of one or more reference frames. Video decoder functionality of the video decoder device may be determined to be functional at least partially based on comparing the first value to the first reference value. 1. (canceled)2. A method of testing a video decoding device , the method comprising:acquiring, by a video test computer system from the video decoding device under test, a decoded video frame;calculating, by the video test computer system, a first pixel block value for a first block of pixels from the decoded video frame;calculating, by the video test computer system, a second pixel block value for a second block of pixels from the decoded video frame; anddetermining, by the video test computer system, whether the video decoding device is accurately decoding video is at least partially based on a pixel block reference value, the first pixel block value, and the second pixel block value.3. The method of testing the video decoding device of claim 2 , wherein the first block of pixels and the second block of pixels are the same block.4. The method of testing the video decoding device of claim 3 , wherein the first pixel block value corresponds to a first particular color selected from the group consisting of red claim 3 , green claim 3 , and blue and the second pixel block value corresponds to a second particular color selected from the group consisting of red claim 3 , green claim 3 , and blue that differs from the first particular color.5. The method ...

SYSTEM AND METHOD FOR VIDEO PROGRAM RECOGNITION

A method for video program recognition includes recording video sequences of each of a plurality of channels and obtaining a set of features of an image captured by a user device. The method also includes performing a camera registration operation on the video sequences to select video frames representing the recorded video sequences based on key video frames from a registered cameras associated with the recorded video sequences. Further, the method includes extracting features of at least some of the selected plurality of video frames of each channel, storing the extracted features, and comparing the obtained set of features with the stored features of each channel to determine whether there is a match between the obtained set of features of the image and features of a video frame from a specific channel and, when there is a match, determining the specific channel as a recognized channel number. 1. A method for video program recognition on a server system , comprising:recording video sequences of each of a plurality of channels;obtaining a set of features of an image captured by a first user device of a video frame from one of the plurality of channels and played on a second user device different from the first user device;performing a camera registration operation on the video sequences of each of the plurality of channels to select a plurality of video frames representing the recorded video sequences of each of the plurality of channels based on key video frames from a plurality of registered cameras associated with the recorded video sequences;extracting features of at least some of the selected plurality of video frames of each of the plurality of channels;storing the extracted features of each of the plurality of channels;comparing the obtained set of features of the image with the stored features of each of the plurality of channels using an image classifier to determine whether there is a match between the obtained set of features of the image and features ...

VIEWFINDER ASSISTANT FOR VISUALLY IMPAIRED

In an approach for guiding a visually impaired user to position a mobile device appropriately in relation to a screen so that dynamic information on the screen can be reliably extracted and conveyed to the visually impaired user, a processor receives an image captured by a camera of a mobile device. A processor performs object recognition on the image to identify a digital screen and a location of the digital screen in the image. A processor retrieves a template of the digital screen. A processor performs angle-sensitive optical character recognition (OCR) on the location of the digital screen in the image. Responsive to a processor determining text on the digital screen can be extracted, a processor conveys the text to a user. Responsive to a processor determining text on the digital screen cannot be extracted, a processor guides the user to re-orient the mobile device to capture a better image. 1. A computer-implemented method comprising:receiving, by one or more processors, an image captured by a camera of a user mobile device;performing, by the one or more processors, object recognition on the image to identify a digital screen and a location of the digital screen in the image, wherein the digital screen is identified to be of a known type, brand, or model of digital screen;retrieving, by the one or more processors, a template of the digital screen based on the known type, brand, or model of digital screen;performing, by the one or more processors, angle-sensitive optical character recognition (OCR) on the location of the digital screen in the image; anddetermining, by the one or more processors, whether, within the image, text on the digital screen can be extracted.2. The computer-implemented method of claim 1 , further comprising:responsive to determining the text can be extracted, audibly conveying, by the one or more processors, the text to a user of the user mobile device using text-to-speech.3. The computer-implemented method of claim 1 ,responsive to ...

METHOD CONTROLLING IMAGE SENSOR PARAMETERS

A method of controlling parameters for image sensors includes; receiving a first image and a second image, calculating first feature values related to the first image and second feature values related to the second image; generating comparison results by comparing the first feature values of fixed regions and first variable regions of the first image with the second feature values of fixed regions and first variable regions of the second image, and controlling at least one parameter on the basis of the comparison results. 120-. (canceled)21. An image sensor control system comprising:a first camera having a first characteristic information including a first field-of view, a first focal length, a first resolution, and a first pixel pitch, the first camera being configured to generate a first image;a second camera having a second characteristic information including a second field-of view different from the first field-of view, a second focal length different from the first focal length, a second resolution different from the first resolution, and a second pixel pitch different from the first pixel pitch, the second camera being configured to generate a second image; anda controller configured to extract a first feature values from the first image and a second feature values from the second image, and to generate a third image different from the first and second images.22. The image sensor control system of claim 21 , wherein the controller is configured to control parameters of at least one of the first camera and the second camera based on at least one of the first and second feature values.23. The image sensor control system of claim 21 , wherein the parameters include at least one of an analog gain and an exposure time.24. The image sensor control system of claim 21 , wherein the controller is configured to:generate a first corrected image by correcting the first image based on the first characteristic information and a second corrected image by correcting the ...

HISTOGRAM METHODS AND SYSTEMS FOR OBJECT RECOGNITION

A multidimensional histogram is used to characterize an image (or object), and is used to identify candidate matches with one or more reference images (or objects). An exemplary implementation employs hue information for two of the dimensions, and a second derivative function based on luminance for a third dimension. The simplicity and speed of the detailed arrangements make them well suited for use with cell phones and other mobile devices, which can use the technology for image/object recognition, e.g., in visual search applications. 1. A method for matching test imagery to reference imagery , comprising the acts:generating color histogram data that corresponds to test imagery captured by a camera-equipped mobile device;matching said test imagery color histogram data with color histogram data that corresponds to reference imagery, said matching being performed by a hardware processor of said camera-equipped mobile device;said test imagery histogram data and said reference imagery histogram data comprising values corresponding to a plurality of quantized bins; and a. a number of occupied bins in the test and reference imagery histograms;', 'b. a number of occupied bins common to both the test imagery and reference imagery histograms;', 'c. a number of occupied bins combined between both the test imagery and reference imagery histograms;', 'd. a number of pixels common to both the test imagery and reference imagery histograms (histogram intersection);', 'e. a percentage of occupied bins of the test imagery histogram that are occupied in the reference imagery histogram;', 'f. a ratio of said histogram intersection to number of occupied bins of the test imagery histogram;', 'g. nonzero bins of test imagery histogram;', 'h. nonzero bins of reference imagery histogram;', 'i. nonzero bins of test imagery histogram that are a subset of nonzero bins of reference imagery histogram;', 'j. a number of nonzero bins of test imagery histogram that are a subset of nonzero bins of ...

Image Capture and Identification System and Process

A digital image depicting a digital representation of a scene is captured by an image sensor of a vehicle. An identification system recognizes a real-world object from the digital image as a target object based on derived image characteristics and identifies object information about the target object based on the recognition. The identification provides the object information to the vehicle data system of the vehicle so that the vehicle data system can execute a control function of the vehicle based on the received object information. 1. A method for vehicle-based object recognition , comprising:obtaining, by an identification system, image data captured by an image sensor of a vehicle, the image data containing a digital representation of a real-world object within a scene;deriving, by the identification system, image characteristics of the real-world object from the digital representation of the real-world object in the image data;recognizing, by the identification system, the real-world object as a target object based on the derived image characteristics;identifying, by the identification system, object information about the target object based on the recognition;providing, by the identification system and to a vehicle data system of the vehicle, the object information; andexecuting, by the vehicle data system, a control function of the vehicle based on the object information.2. The method of claim 1 , wherein the control function comprises at least one of guidance claim 1 , navigation or maneuvering of the vehicle relative to the real-world object.3. The method of claim 1 , wherein the control function comprises planning claim 1 , by the vehicle data system claim 1 , a trajectory relative to the real-world object.4. The method of claim 1 , wherein the object information comprises at least one of location or orientation of the real-world object relative to the vehicle.5. The method of claim 1 , wherein the real-world object is a street sign.6. The method of claim ...

IMAGE CAPTURE AND IDENTIFICATION SYSTEM AND PROCESS

A computing platform that analyzes a captured video stream to identify a document depicted in the video stream, validates identification information corresponding to the document to display an information address associated with the document, and that initiates a transaction based on the validation of the identification information associated with the document. 1. A method of conducting a financial transaction , the method comprising:analyzing, via at least one computing device processor, a video stream;identifying, via the at least one computing device processor, a document in the video stream;validating, via the at least one computing device processor, identification information pertinent to the document based on the video stream;displaying, via the at least one computing device processor, an information address where the information address is related to the document; andinitiating, via the at least one computing device processor and based on validation of the identification information, a financial transaction related to the document.2. The method of claim 1 , further comprising capturing claim 1 , by a mobile device claim 1 , the video stream.3. The method of claim 1 , wherein identifying the document comprises automatically capturing an image of the document from the video stream.4. The method of claim 3 , wherein identifying the document includes recognizing and decoding symbols according symbol type based on location in the image.5. The method of claim 1 , further comprising displaying a visual indicator with the video stream.6. The method of claim 1 , wherein the information address is associated with the financial transaction.7. The method of claim 1 , wherein the information address is associated with a bank account.8. The method of claim 1 , wherein the document is related to an individual who is a user of a mobile device.9. The method of claim 1 , further comprising allowing a user to perform ongoing interactions related to the financial transaction.10. ...

Apparatus and method with compressed neural network computation

A neural network includes a drop layer configured to drops feature values. A method of computation using the neural network includes extracting feature data from input data using a first portion of a neural network, generating compressed representation data of the extracted feature data by dropping a feature value from the extracted feature data at a drop layer of the neural network based on a drop probability corresponding to the feature value, and indicating an inference result from the compressed representation data using a second portion of the neural network.

METHOD AND APPARATUS FOR IMAGE RECOGNITION

The present disclosure relates to an apparatus for image recognition. The apparatus comprises a machine learning network configured to map first and second input image data to either a first or a second predefined target probability distribution, depending on whether the first and second input image data correspond to matching or non-matching images, wherein an output of the machine learning network matching the first target probability distribution is indicative of matching images and an output of the machine learning network matching the second target probability distribution is indicative of non-matching images. The present disclosure also relates to a method for training the apparatus for image recognition. 1. An apparatus for image recognition , the apparatus comprising:a machine learning network configured to map first and second input image data to either a first or a second predefined target probability distribution, depending on whether the first and second input image data correspond to matching or non-matching images,wherein an output of the machine learning network matching the first target probability distribution is indicative of matching images and an output of the machine learning network matching the second target probability distribution is indicative of non-matching images.2. The apparatus of claim 1 , wherein the first and the second target probability distribution correspond to a first and a second multivariate Gaussian distribution with distinct centers of mass.3. The apparatus of claim 1 , wherein the machine learning network comprisesa first machine learning subnetwork configured to extract respective discriminative image features from the first and second image data; anda second machine learning subnetwork configured to map the extracted first and second discriminative image features to one of the first and second predefined target probability distributions.4. The apparatus of claim 3 , wherein the first machine learning subnetwork comprises ...

Self-Position Calculating Apparatus and Self-Position Calculating Method

A self-position calculating apparatus includes: a light projector configured to project a patterned light beam onto a road surface around a vehicle; and a camera configured to capture an image of the road surface around the vehicle including an area onto which the patterned light beam is projected. The self-position calculating apparatus calculates an orientation angle of the vehicle relative to the road surface from a position of the patterned light beam on the image obtained by the camera and calculates an amount of change in the orientation of the vehicle based on temporal changes in multiple feature points on the road surface which are detected from the image The self-position calculating apparatus calculates current position and orientation angle of the vehicle by adding the amount of change in the orientation to initial position and orientation angle of the vehicle. If a condition under which the multiple feature points are detected does not satisfy a first criterion, the self-position calculating apparatus projects the patterned light beam 1. A self-position calculating apparatus comprising:a light projector configured to project a patterned light beam onto a road surface around a vehicle;a camera installed in the vehicle, and configured to capture an image of the road surface around the vehicle including an area onto which the patterned light beam is projected;an orientation angle calculator configured to calculate an orientation angle of the vehicle relative to the road surface from a position of the patterned light beam on the image obtained by the camera;an orientation change amount calculator configured to calculate an amount of change in the orientation of the vehicle based on temporal changes in a plurality of feature points on the road surface which are detected from the image obtained by the camera;a self-position calculator configured to calculate current position and orientation angle of the vehicle by adding the amount of change in the orientation ...

METHOD AND APPARATUS FOR MEASURING AN ULTRASONIC IMAGE

The present invention relates to a method and apparatus for measuring an ultrasonic image. The method comprises: a measuring template loading step: loading a measuring template according to a received instruction; and a measuring template displaying step: displaying a selected measuring template at a designated position on the ultrasonic image. 1. A method for measuring an ultrasonic image , comprising:a measuring template loading step: loading a measuring template according to a received instruction; anda measuring template displaying step: displaying a selected measuring template at a designated position on said ultrasonic image.2. The method according to claim 1 , wherein said ultrasonic image is a live ultrasonic image.3. The method according to claim 1 , further comprising: a measuring template generating step: generating said measuring template according to clinical experience data of a measured object on the ultrasonic image where said measuring template is applied and storing said measuring template.4. The method according to claim 3 , wherein said measuring template generating step further comprises:generating a length measuring template according to said clinical experience data;generating an area measuring template according to said clinical experience data; andgenerating an angle measuring template according to said clinical experience data.5. The method according to claim 4 , wherein said length measuring template contains straight-line segments which contain length information and midpoint position information.6. The method according to claim 4 , wherein said area measuring template contains an enclosed plane figure.7. The method according to claim 6 , wherein said area measuring template contains at least one circle.8. The method according to claim 6 , wherein said area measuring template contains a plurality of concentric circles.9. The method according to claim 1 , further comprising:a measuring template moving step: shifting and/or rotating said ...

CHARACTER INPUT APPARATUS AND METHOD BASED ON HANDWRITING

Provided are a character input apparatus and method based on handwriting. The character input apparatus based on handwriting includes an image obtaining unit configured to obtain an image of a motion of a hand moving in a space, a pattern storage unit configured to store various types of character input pattern information required for inputting characters, a pattern recognizing unit configured to recognize a character input pattern from the image of a motion of a hand obtained by the image obtaining unit, compare the recognized character input pattern with the character input pattern information stored in the pattern storage unit, and output a character matched to the same pattern, and an input character display unit configured to display the character output from the pattern recognizing unit. 1. A character input apparatus based on handwriting , the character input apparatus comprising:an image obtaining unit configured to obtain an image of a motion of a hand moving in a space;a pattern storage unit configured to store various types of character input pattern information required for inputting characters;a pattern recognizing unit configured to recognize a character input pattern from the image of a motion of a hand obtained by the image obtaining unit, compare the recognized character input pattern with the character input pattern information stored in the pattern storage unit, and output a character matched to the same pattern; andan input character display unit configured to display the character output from the pattern recognizing unit.2. The character input apparatus of claim 1 , wherein when the recognized pattern corresponds to a consonant and repeated twice within a predetermined period of time claim 1 , the pattern recognizing unit determines that the pattern corresponds to a pair consonant claim 1 , and outputs a corresponding character.3. The character input apparatus of claim 1 , wherein when the recognized pattern is a vowel and another vowel ...

Photo-Optic Comparative Geolocation System

A photo-optic comparative geolocation system for calculating the location of an object has been developed. The apparatus includes optic sensors that capture surrounding location data, an interface that maps the optic sensor data, a storage database containing prior optical and location data, a digital sextant that provides data calculated using magnetic or celestial references, a data processor that compares the mapped data to stored data and calculates current location based on the comparison analysis, and a visual display for location information. 1. A photo-optic comparative geolocation apparatus , comprising:a. an optic sensor that captures surrounding location data;b. an interface that maps the optic sensor data;c. a storage database containing prior optical and location data;d. a digital sextant that provides data calculated using magnetic or celestial references; ande. a data processor that compares the mapped data to stored data and calculate current location based on the comparison analysis and digital sextant data.2. The apparatus of claim 1 , wherein the digital sextant comprises an internal compass and an internal gyroscope for stabilization.3. The apparatus of claim 2 , wherein the digital sextant further comprises a sextant camera that captures images of celestial objects.4. The apparatus of claim 3 , wherein the digital sextant further comprises a sextant storage database containing star and sky data.5. The apparatus of claim 4 , wherein the digital sextant further comprises a sextant processor that compiles and compares data from the sextant storage database and sextant camera.6. The apparatus of claim 1 , further comprising:f. a location assessment report created by the data processor.7. The apparatus of claim 1 , further comprising:g. a visual display for output from the data processor.8. The apparatus of claim 1 , wherein the location data comprises reference points and images.9. A photo-optic comparative geolocation apparatus claim 1 , comprising ...

IMAGE RECOGNITION ACCELERATOR, TERMINAL DEVICE, AND IMAGE RECOGNITION METHOD

An image recognition accelerator, a terminal device, and an image recognition method are provided. The image recognition accelerator includes a dimensionality-reduction processing module, an NVM, and an image matching module. The dimensionality-reduction processing module first reduces a dimensionality of first image data. The NVM writes, into a first storage area of the NVM according to a specified first current I, ω low-order bits of each numeric value of the first image data on which dimensionality reduction has been performed, and writes, into a second storage area of the NVM according to a specified second current, (N−ω) high-order bits of each numeric value of the first image data on which dimensionality reduction has been performed. The image matching module determines whether an image library stored in the NVM includes image data matching the first image data on which dimensionality reduction has been performed. 1. An image recognition accelerator of a terminal device for image recognition , comprising: receive a dimensionality-reduction parameter γ, and', 'perform a dimensionality reduction on a first image data to obtain a reduced first image data according to the received dimensionality-reduction parameter γ, wherein the reduced first image data comprises multiple numeric values, and the dimensionality-reduction parameter γ is obtained according to a system power consumption of the terminal device and a first image recognition success rate of the terminal device;, 'a dimensionality-reduction processing module, configured to receive a width parameter ω and a first current I, store, in a first storage area of the NVM according to the first current I, ω low-order bits of each numeric value of the reduced first image data, and', {'sub': s', 's, 'store, in a second storage area of the NVM according to a second current I, (N−ω) high-order bits of each numeric value of the reduced first image data, wherein each numeric value is represented by N bits, the first ...

REGION SELECTION FOR IMAGE MATCH

The accuracy of an image matching process can be improved by determining relevant swatch regions of the images, where those regions contain representative patterns of the items of interest represented in those images. Various processes examine a set of visual cues to determine at least one candidate object region, and then collate these regions to determine one or more representative swatch images. For apparel items, this can include locating regions such as an upper body region, torso region, clothing region, foreground region, and the like. Processes such as regression analysis or probability mapping can be used on the collated region data (along with confidence and/or probability values) to determine the appropriate swatch regions. 1. A system , comprising:at least one processor; and receive an image containing a representation of an object;', 'determine a set of candidate swatch regions based at least in part on a selection of the area of the image;', 'for each swatch region in the set of candidate swatch regions, identify a subset of pixels of the image based at least in part on the subset of pixels having at least a minimum probability of similarity to the representation of the object in the image;', 'selecting at least one swatch region from the set of candidate swatch regions based at least in part on the minimum probability of similarity to the representation of the object;', 'determine at least two or more sub-regions within the at least one swatch region;', 'collating data for the at least one swatch region to determine a sub-region representative of at least one visual aspect of the object; and', 'generating a swatch image using pixel values from within the sub-region, the swatch image used to perform an similarity matching process against a set of candidate images., 'memory storing instructions that, when executed by the at least one processor, cause the system to2. The system of claim 1 , wherein the at least two or more sub-regions within the at least ...

MEDICAL IMAGE PROCESSING APPARATUS, X-RAY DIAGNOSTIC APPARATUS, AND MEDICAL IMAGE PROCESSING METHOD

A medical information processing device according to an embodiment includes processing circuitry configured to acquire a plurality of X-ray images including a device inserted into a body of a subject, suppress movement of a characteristic portion characterized in a shape that is positioned distant from a distal end of the device among the X-ray images, and output the X-ray images in which movement of the characteristic portion is suppressed. 1: A medical image processing apparatus comprising: acquire a plurality of X-ray images including a device inserted into a body of a subject,', 'suppress movement of a characteristic portion characterized in a shape that is positioned distant from a distal end of the device among the X-ray images, and', 'output the X-ray images in which movement of the characteristic portion is suppressed., 'processing circuitry configured to'}2: The medical image processing apparatus according to claim 1 , wherein the processing circuitry suppresses movement of the characteristic portion by performing matching processing among the X-ray images.3: The medical image processing apparatus according to claim 1 , wherein the processing circuitry extracts the characteristic portion from each of the X-ray images claim 1 , and performs matching processing for the characteristic portion among the X-ray images to suppress movement of the characteristic portion.4: The medical image processing apparatus according to claim 2 , wherein the processing circuitry suppresses movement of the characteristic portion by performing the matching processing between the X-ray image of a reference frame and the X-ray image of a frame other than the reference frame.5: The medical image processing apparatus according to claim 4 , wherein the processing circuitry periodically updates the reference frame.6: The medical image processing apparatus according to claim 2 , comprising:a storage unit configured to store a blood vessel image acquired from the subject, wherein ...

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

An image processing apparatus includes an alignment unit configured to align a first fundus oculi image that is an aberration-corrected image of an eye being examined and a second fundus oculi image having a larger view angle and a lower resolution than the first fundus oculi image, by using a third fundus oculi image having a smaller view angle and a higher resolution than the second fundus oculi image; a distance acquisition unit configured to acquire a distance from a macula lutea of the eye being examined to a certain position in the first fundus oculi image aligned by the alignment unit; and an evaluation unit configured to evaluate the state of the eye being examined from the distance and information concerning photoreceptor cells included in the first fundus oculi image. 1. An image processing apparatus comprising:an acquisition unit configured to acquire a first fundus oculi image, a second fundus oculi image and a third fundus oculi image, the first fundus oculi image being an aberration-corrected image of an eye being examined, the second fundus oculi image being an image having a larger view angle and a lower resolution than the first fundus oculi image, the third fundus oculi image being an image having a smaller view angle and a higher resolution than the second fundus oculi image;an alignment unit configured to align a first fundus oculi image and a second fundus oculi image by using a third fundus oculi image.2. The image processing apparatus according to claim 1 , wherein the alignment unit aligns the first fundus oculi image and the second fundus oculi image in accordance with a result of alignment between the second fundus oculi image and the third fundus oculi image and a result of alignment between the third fundus oculi image and the first fundus oculi image.3. The image processing apparatus according to claim 1 , further comprising:a display control unit configured to cause a display unit to display the first fundus oculi image and the second ...

SENTENCE MATCHING SYSTEM

A sentence matching system includes an input unit configured to input a sentence, a matching determination unit configured to determine matching between the sentence input by the input unit and a preset matching sentence, wherein precision used to determine the matching in accordance with the matching sentence is set in the matching sentence, and the matching determination unit determines the matching at the precision and priority corresponding to the precision for each matching sentence. 1. A sentence matching system comprising circuitry configured to:input a sentence; anddetermine matching between the input sentence and a preset matching sentence,wherein precision used to determine the matching in accordance with the matching sentence is set in the matching sentence, andthe circuitry determines the matching at the precision and priority corresponding to the precision for each matching sentence.2. The sentence matching system according to claim 1 , wherein the precision is set in accordance with at least one of whether to convert a phrase included in a sentence into a reading claim 1 , whether to normalize the sentence claim 1 , whether to convert a phrase included in the sentence into a synonym claim 1 , and whether to convert the phrase included in the sentence into a hypernym.3. The sentence matching system according to claim 1 ,wherein the circuitry outputs a response sentence associated in advance with the matching sentence determined to match the input sentence.4. The sentence matching system according to claim 2 ,wherein the circuitry outputs a response sentence associated in advance with the matching sentence determined to match the input sentence. The present invention relates to a sentence matching system that determines matching between an input sentence and a preset matching sentence.In the related art, dialog systems that input sentences based on speeches, operations, or the like of users and perform talking have been proposed. Artificial Intelligence ...

Intelligent Image Segmentation Prior to Optical Character Recognition (OCR)

A medical device monitoring system and method extract information from screen images from medical device controllers, with a single OCR process invocation per screen image, despite critical information appearing in different screen locations, depending on which medical device controller's screen image is processed. For example, different software versions of the medical device controllers might display the same type of information in different screen locations. Copies of the critical screen information, one copy from each different screen location, are made in a mosaic image, and then the mosaic image is OCR processed to produce text results. Text is selectively extracted from the OCR text results, depending on contents of a selector field on the screen image, such as a software version number or a heart pump model identifier. 1. A medical device monitoring system , comprising: request and receive, via a computer network, from each medical device controller of a plurality of medical device controllers, received images of contents displayed on a screen of the medical device controller, wherein the plurality of medical device controllers comprises a plurality of first medical device controllers, each configured to display information of a first type at first screen coordinates, and a plurality of second medical device controllers, each configured to display information of the first type at second screen coordinates, different from the first screen coordinates;', 'for each received image, generate a mosaic image, wherein the server is configured to: (a) copy a first source region, which encompasses the first screen coordinates of the received image, to a predefined destination region at third coordinates in the mosaic image, (b) copy a second source region, which encompasses the second screen coordinates of the received image, to a predefined destination region at fourth coordinates, different from the third coordinates, in the mosaic image and (c) copy a plurality of ...