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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 384235. Отображено 100.
05-01-2012 дата публикации

Data collation apparatus

Номер: US20120002846A1
Автор: Hironori Yokoi, Toshio Endoh
Принадлежит: Fujitsu Ltd

A data collation apparatus has: a collation unit which calculates a similarity between input data measured by a measurement apparatus and each of registered data; and a calculation unit which adjusts, if a similarity of first registered data of which similarity with the input data is highest is lower than a first threshold, and a difference between the similarities of the first registered data and second registered data of which similarity with the input data is second highest is smaller than a predetermined value, or if a degree of separation to indicate a distance between the similarity of the first registered data and a similarity distribution of a group of registered data items of which similarities with the input data are second highest or lower is smaller than a predetermined value, the parameters of the measurement apparatus, and instructs the measurement apparatus to remeasure the measurement subject.

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Номер записи: 1
05-01-2012 дата публикации

Stent localization in 3d cardiac images

Номер: US20120002855A1
Автор: Ying Bai
Принадлежит: Fujifilm Corp

Systems and methods are described for automatically identifying coronary stents within a 3D cardiac image. Based on feature analysis on a cardiac image, coronary stents can be detected by filtering the cardiac images for stent candidates, applying a score based on factors related to coronary stents and applying a threshold. Once coronary stents are identified, in-stent restenosis and stent fractures can be further detected.

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Номер записи: 2
05-01-2012 дата публикации

Using handwritten notations in digital video presentations

Номер: US20120002889A1
Автор: Andrew C. Blose, Andrew C. Gallagher, Charles L. Parker, Joseph A. Manico
Принадлежит: Eastman Kodak Co

A method for producing a slide show video from a collection of hardcopy media, the method includes digitizing the media and detecting handwritten information and estimating the age of the media; determining an order of presentation for the slide show video based on the detected handwritten information and estimated ages; and producing a slide show video from the hardcopy media using the determined order of presentation.

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Номер записи: 3
10-04-2016 дата публикации

Электронное устройство для подбора товаров

Номер: RU0000161240U1
Автор: Арташес Валерьевич Икономов
Принадлежит: Арташес Валерьевич Икономов

1. Электронное устройство для подбора товаров, включающее в себя сервер, выполненный с возможностью соединения при помощи объединенной сети с клиентскими устройствами пользователей, содержащий соединенные между собой модуль ввода нескольких изображений товаров, соединенный с ним модуль построения трехмерной модели товаров, модуль ввода нескольких изображений объемного тела, с которым сравнивают подбираемые товары, соединенный с ним модуль построения трехмерной модели объемного тела, базу данных товаров с трехмерными моделями указанных товаров, базу данных объемных тел с трехмерными моделями указанных объемных тел, соединенный с базами данных модуль сравнения трехмерной модели объемного тела и трехмерной модели товаров в одном масштабе и соединенный с ним модуль отправления результатов сравнения на клиентские устройства пользователей, отличающееся тем, что электронное устройство содержит соединенный с модулем построения трехмерной модели объемного тела и базой данных объемных тел с трехмерными моделями указанных объемных тел модуль идентификации объемного тела по трехмерной модели объемного тела, причем электронное устройство содержит также соединенный с модулем идентификации объемного тела по трехмерной модели объемного тела и с модулем отправления результатов сравнения на клиентские устройства пользователей модуль выбора из базы данных товаров с трехмерными моделями указанных товаров тех товаров, которые подходят введенному в электронное устройство объемному телу как по соответствию трехмерной модели, так и по назначению указанных товаров для использования именно с этим объемным телом.2. Элект РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) (13) 161 240 U1 (51) МПК G06T 17/00 (2006.01) G06F 17/40 (2006.01) G06K 9/64 (2006.01) G06Q 30/00 (2012.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ (12) ТИТУЛЬНЫЙ (21)(22) Заявка: ЛИСТ ОПИСАНИЯ ПОЛЕЗНОЙ МОДЕЛИ К ПАТЕНТУ 2015139541/08, 17.09.2015 (24) Дата начала отсчета срока действия патента: 17.09.2015 (72) Автор(ы): Икономов ...

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Номер записи: 4
20-10-2016 дата публикации

Электронный ручной видеоувеличитель для слабовидящих

Номер: RU0000165558U1
Автор: Сергей Юрьевич Рявкин
Принадлежит: ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "Интерра"

Электронный ручной видеоувеличитель (ЭРВУ) для слабовидящих, включающий корпус, кабельное средство связи, служащее для подключения внешнего устройства и присоединяемое через ответную часть электрического соединителя, выведенную на внешнюю поверхность корпуса, отличающийся тем, что сопряжение кабельного средства связи с ответной частью электрического соединителя осуществлено за счет взаимодействия магнитных сил притяжения. РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) (13) 165 558 U1 (51) МПК G06K 9/00 (2006.01) G06K 9/62 (2006.01) H01R 13/639 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ (12) ТИТУЛЬНЫЙ (21)(22) Заявка: ЛИСТ ОПИСАНИЯ ПОЛЕЗНОЙ МОДЕЛИ К ПАТЕНТУ 2016119445/08, 20.05.2016 (24) Дата начала отсчета срока действия патента: 20.05.2016 (72) Автор(ы): Рявкин Сергей Юрьевич (RU) (73) Патентообладатель(и): ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ИНТЕРРА" (RU) R U Приоритет(ы): (22) Дата подачи заявки: 20.05.2016 (45) Опубликовано: 20.10.2016 Бюл. № 29 R U 1 6 5 5 5 8 (57) Формула полезной модели Электронный ручной видеоувеличитель (ЭРВУ) для слабовидящих, включающий корпус, кабельное средство связи, служащее для подключения внешнего устройства и присоединяемое через ответную часть электрического соединителя, выведенную на внешнюю поверхность корпуса, отличающийся тем, что сопряжение кабельного средства связи с ответной частью электрического соединителя осуществлено за счет взаимодействия магнитных сил притяжения. Стр.: 1 U 1 U 1 (54) ЭЛЕКТРОННЫЙ РУЧНОЙ ВИДЕОУВЕЛИЧИТЕЛЬ ДЛЯ СЛАБОВИДЯЩИХ 1 6 5 5 5 8 Адрес для переписки: 620026, г. Екатеринбург, а/я 26, филиал ООО "Юридическая фирма Городисский и Партнеры" в г. Екатеринбурге, пат. пов. РФ Байковской Елене Эмериковне

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Номер записи: 5
17-03-2022 дата публикации

Система мониторинга участков сельскохозяйственных угодий с использованием машинного обучения и беспилотного летательного аппарата

Номер: RU0000209619U1
Автор: Алиев Михаил Александрович, Арлазаров Владимир Викторович, Безматерных Павел Владимирович, Булатов Константин Булатович, Лимонова Елена Евгеньевна, Усилин Сергей Александрович, Чернышова Юлия Сергеевна, Шешкус Александр Владимирович
Принадлежит: Федеральное государственное учреждение "Федеральный исследовательский центр "Информатика и управление" Российской академии наук" (ФИЦ ИУ РАН)

Полезная модель относится к области автоматики и вычислительной техники, в частности к системе мониторинга участков сельскохозяйственных угодий с использованием машинного обучения и беспилотного летательного аппарата. Техническим результатом, обеспечиваемым заявляемой полезной моделью, является повышение быстродействия системы путем выдачи в реальном масштабе времени результатов обработки получаемых данных по каждому из участков сельскохозяйственных угодий. Технический результат достигается тем, что система содержит модуль приема данных с беспилотного летательного аппарата, модуль селекции адресов участков сельскохозяйственных угодий в базе данных сервера системы, модуль выдачи адресов считывания данных участков сельскохозяйственных угодий, модуль приема изображений участков сельскохозяйственных угодий из базы данных сервера системы, модуль задания количества участков сельскохозяйственных угодий для проведения мониторинга, модуль верификации изображений участков сельскохозяйственных угодий с беспилотного летательного аппарата и из базы данных сервера системы, модуль фиксации результатов верификации участков сельскохозяйственных угодий и модуль выдачи результатов мониторинга участков сельскохозяйственных угодий. 4 ил. РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) (13) 209 619 U1 (51) МПК G06T 7/00 (2006.01) G06V 10/00 (2022.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ (12) ОПИСАНИЕ ПОЛЕЗНОЙ МОДЕЛИ К ПАТЕНТУ (52) СПК G06T 7/00 (2022.01); G06V 10/00 (2022.01) (21)(22) Заявка: 2021131814, 29.10.2021 (24) Дата начала отсчета срока действия патента: Дата регистрации: 17.03.2022 (45) Опубликовано: 17.03.2022 Бюл. № 8 (73) Патентообладатель(и): Федеральное государственное учреждение "Федеральный исследовательский центр "Информатика и управление" Российской академии наук" (ФИЦ ИУ РАН) (RU) Адрес для переписки: 119333, Москва, ул. Вавилова, 44, корп. 2, Федеральное государственное учреждение "Федеральный исследовательский центр "Информатика и управление" Российской академии ...

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Номер записи: 6
12-01-2012 дата публикации

Shadow Removal in an Image Captured by a Vehicle Based Camera Using a Non-Linear Illumination-Invariant Kernel

Номер: US20120008020A1
Автор: QI Wu, Wende Zhang
Принадлежит: GM GLOBAL TECHNOLOGY OPERATIONS LLC

A method is provided for removing an illumination generated shadow in a captured image. An image is captured by an image capture device. Each pixel of the captured image is represented by a respective color value in a logarithmic graph. A non-linear illumination-invariant kernel is determined. An illumination direction for each respective color set is determined in the logarithmic graph that is orthogonal to the non-linear illumination-invariant kernel. A log-chromaticity value of each plotted pixel is projected on the non-linear illumination-invariant kernel. Edges are identified in the input image. Edges are identified in the illumination-invariant image domain. The identified edges are compared. A determination is made whether a shadow is present in response to an edge identified in the input image and an absence of a correlating edge in the illumination-invariant image domain. A shadow-reduced image is generated for scene analysis by a vehicle vision-based system.

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Номер записи: 7
12-01-2012 дата публикации

Manually-assisted automated indexing of images using facial recognition

Номер: US20120008837A1
Автор: David A. Goldberg, Jeffrey Rose, Joe Angell, Robert Gray
Принадлежит: Youfinder Intellectual Property Licensing LLC

The present method relates to the manual assistance for the automated indexing ( 100 ) of a collection of images using facial recognition. In a first automated indexing step, automated indexing of faces within a collection of images is performed, creating sets of faces each of which comprises faces that are determined by the automated process to be representative of the same person. In a second splitting step ( 200 ), sets are displayed to an operator, who determines whether there are false-positive associations within a set. If false-positive associations are found, the faces representing different people are manually split into different sets, hi this way, there will be no false-positive associations within the collection of images, hi a third merging step ( 300 ), sets that have some degree of similarity are presented to the operator, who determines whether the two sets comprise representations of the same person. If so, the two sets are manually merged, thereby eliminating false-negative errors. In this way, all of the faces in the image collection can be completely and accurately indexed.

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Номер записи: 8
12-01-2012 дата публикации

Object recognition system with database pruning and querying

Номер: US20120011119A1
Автор: Ashwin Swaminathan, Pawan K. Baheti, Serafin Diaz Spindola, Xia Ning
Принадлежит: Qualcomm Inc

A database for object recognition is generated by performing at least one of intra-object pruning and inter-object pruning, as well as keypoint clustering and selection. Intra-object pruning removes similar and redundant keypoints within an object and different views of the same object, and may be used to generate and associate a significance value, such as a weight, with respect to remaining keypoint descriptors. Inter-object pruning retains the most informative set of descriptors across different objects, by characterizing the discriminability of the keypoint descriptors for all of the objects and removing keypoint descriptors with a discriminability that is less than a threshold. Additionally, a mobile platform may download a geographically relevant portion of the database and perform object recognition by extracting features from the query image and using determined confidence levels for each query feature during outlier removal.

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Номер записи: 9
12-01-2012 дата публикации

Feedback to improve object recognition

Номер: US20120011142A1
Автор: Ashwin Swaminathan, Murali Ramaswamy Chari, Pawan K. Baheti, Serafin Diaz Spindola
Принадлежит: Qualcomm Inc

A database for object recognition is modified based on feedback information received from a mobile platform. The feedback information includes information with respect to an image of an object captured by the mobile platform. The feedback information, for example, may include the image, features extracted from the image, a confidence level for the features, posterior probabilities of the features belonging to an object in the database, GPS information, and heading orientation information. The feedback information may be used to improve the database pruning, add content to the database or update the database compression efficiency. The information feedback to the server by the mobile platform may be determined based on a search of a portion of the database performed by the mobile platform using features extracted from a captured query image.

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Номер записи: 10
26-01-2012 дата публикации

Automated image analysis of an organic polarized object

Номер: US20120020531A1
Автор: Kenneth Dewane Owens, JR.
Принадлежит: COGNISENSE LABS Inc

In one embodiment, a method includes capturing an image of a first organic polarized object using an image capture device. The method also includes collecting a first image data of the first organic polarized object. The method further includes algorithmically calculating a first dimension data based on the first image data. The method further includes generating a first data table of the first dimension data. The method also includes forming a training data set using the first data table. The method also includes computing high vote count data for second organic polarized object using the training data and second dimension data sets to identify precise shape, size, location and orientation. The method further includes calibrating coordinate systems of a robotic end effector with an image capture device and commanding the robotic end effector to pick up and place the second organic polarized object in a precise location and orientation.

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Номер записи: 11
02-02-2012 дата публикации

Image contrast enhancement in depth sensor

Номер: US20120026085A1
Автор: Scott McEldowney
Принадлежит: Microsoft Corp

Embodiments related to the enhancement of contrast in an image pattern in a structured light depth sensor are disclosed. For example, one disclosed embodiment provides, in a structured light depth sensor system comprising a structured light depth sensor, a method comprising projecting a light pattern onto an object, detecting via an image sensor an image of the light pattern as reflected from the object, increasing a contrast of the light pattern relative to ambient light present in the image of the light pattern as reflected from the object to form a contrast-enhanced image of the light pattern as reflected from the object, and based upon a motion of the object as detected via the contrast-enhanced image of the light pattern, controlling an application that is providing output to a display.

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Номер записи: 12
02-02-2012 дата публикации

Data processing device, image matching method, program, and image matching system

Номер: US20120026354A1
Автор: Yasushi Hamada
Принадлежит: NEC Corp

A data processing device 300 according to the present invention comprises difference value computing means 402, 412 that computes a difference value between a pixel value of a target pixel that is each pixel contained in an image and a pixel value of a pixel that is present at a predetermined neighboring relative position of the target pixel, representative value computing means 403, 413 that extracts a pixel group containing pixels that are similarly influenced by shading due to light from the image with respect to each pixel of the image and computes a representative value of difference values of the pixel group according to a statistical technique, feature value computing means 404, 414 that computes the feature value with respect to each pixel contained in the image based on comparison between the difference value with respect to each pixel and the representative value of difference values of the pixel group, and similarity determining means 301 that determines a similarity between the image and a predetermined image based on the feature value with respect to each pixel extracted by the feature value computing means.

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Номер записи: 13
02-02-2012 дата публикации

Method and system for assessing data classification quality

Номер: US20120030151A1
Автор: Douglass Huang, K. Bradley Paxton, Steven Paul Spiwak
Принадлежит: ADI LLC

Production data classified from a data source, such as a plurality of handprinted forms, is compared to provisional truth data independently classified from the same data source for constructing master truth data. The production data is compared to the master truth data for evaluating the quality with which the production data was classified.

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Номер записи: 14
16-02-2012 дата публикации

Method for recognizing a structure to be applied to a substrate, with the aid of several cameras and device therefore

Номер: US20120039524A1
Автор: Andreas Tomtschko, Jan Anders Linnenkohl, Mirko Berger, Roman Raab
Принадлежит: Individual

A method and apparatus are provided for automatic application and monitoring of a structure to be applied onto substrate. A plurality of cameras positioned around an application facility are utilized to monitor the automatic application of a structure on a substrate by means of a stereometry procedure. Three-dimensional recognition of a reference contour position results in the overlapping area to be used for gross adjustment of the application facility prior to applying the structure.

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Номер записи: 15
16-02-2012 дата публикации

Computer-readable medium storing learning-model generating program, computer-readable medium storing image-identification-information adding program, learning-model generating apparatus, image-identification-information adding apparatus, and image-identification-information adding method

Номер: US20120039527A1
Автор: Motofumi Fukui, Noriji Kato, Wenyuan Qi
Принадлежит: Fuji Xerox Co Ltd

A computer-readable medium storing a learning-model generating program causing a computer to execute a process is provided. The process includes: extracting feature values from an image for learning that is an image whose identification information items are already known, the identification information items representing the content of the image; generating learning models by using binary classifiers, the learning models being models for classifying the feature values and associating the identification information items and the feature values with each other; and optimizing the learning models for each of the identification information items by using a formula to obtain conditional probabilities, the formula being approximated with a sigmoid function, and optimizing parameters of the sigmoid function so that the estimation accuracy of the identification information items is increased.

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Номер записи: 16
16-02-2012 дата публикации

Method and system for biometric authentication

Номер: US20120042171A1
Автор: Conor Robert White, Gaurav Gupta, Michael Peirce
Принадлежит: Individual

A method of authentication is provided that includes capturing biometric data for a desired biometric type from an individual, determining an algorithm for converting the biometric data into authentication words, converting the captured biometric data into authentication words in accordance with the determined algorithm, including the authentication words in a probe, and comparing the probe against identity records stored in a server system. Each of the identity records includes enrollment biometric words of an individual obtained during enrollment. Moreover, the method includes identifying at least one of the identity records as a potential matching identity record when at least one of the authentication words included in the probe matches at least one of the enrollment biometric words included in the at least one identity record, and generating a list of potential matching identity records.

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Номер записи: 17
01-03-2012 дата публикации

System for background subtraction with 3d camera

Номер: US20120051631A1
Автор: Daniel Palmer Dabbelt, Dennis Jinn Lin, Minh Ngoc Do, Quang Huu Nguyen, Sanjay Jeram Patel
Принадлежит: University of Illinois

A system for background image subtraction includes a computing device coupled with a 3D video camera, a processor of the device programmed to receive a video feed from the camera containing images of one or more subject that include depth information. The processor, for an image: segments pixels and corresponding depth information into three different regions including foreground (FG), background (BG), and unclear (UC); categorizes UC pixels as FG or BG using a function that considers the color and background history (BGH) information associated with the UC pixels and the color and BGH information associated with pixels near the UC pixels; examines the pixels marked as FG and applies temporal and spatial filters to smooth boundaries of the FG regions; constructs a new image by overlaying the FG regions on top of a new background; displays a video feed of the new image in a display device; and continually maintains the BGH.

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Номер записи: 18
01-03-2012 дата публикации

Method and System For Patient-Specific Modeling of Blood Flow

Номер: US20120053921A1
Автор: Charles A. Taylor
Принадлежит: HeartFlow Inc

Embodiments include a system for planning treatment for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of an anatomical structure of the patient, create a three-dimensional model representing at least a portion of the anatomical structure of the patient based on the patient-specific data, and determine a first fractional flow reserve within the anatomical structure of the patient based on the three-dimensional model and information regarding a physiological condition of the patient. The at least one computer system may be further configured to receive input from a user regarding a plan of treatment, modify the physiological condition of the patient based on the received input, and determine a second fractional flow reserve within the anatomical structure of the patient based on the modified physiological condition of the patient.

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Номер записи: 19
01-03-2012 дата публикации

Method for classification of objects in a graph data stream

Номер: US20120054129A1
Автор: Charu Aggarwal
Принадлежит: International Business Machines Corp

A method for classifying objects in a graph data stream, including receiving a training stream of graph data, the training stream including a plurality of objects along with class labels that are associated with each of the objects, first determining discriminating sets of edges in the training stream for the class labels, wherein a discriminating set of edges is one that is indicative of the object that contains these edges having a given class label, receiving an incoming data stream of the graph data, wherein class labels have not yet been assigned to objects in the incoming data stream, second determining, based on the discriminating sets of edges, class labels that are associated with the objects in the incoming data stream; and outputting to an information repository object class label pairs based on the second determining.

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Номер записи: 20
08-03-2012 дата публикации

Single-shot photometric stereo by spectral multiplexing

Номер: US20120056994A1
Автор: Graham Leslie Fyffe
Принадлежит: University of Southern California USC

Single-shot photometric stereo techniques are disclosed in which chromaticity is assumed to be a variable. Scene illumination includes three or more spectrally distinct light sources. A scene image is taken with a camera system configured to measure five or more different bands, or channels, of the visible light spectrum. The light sources can include narrow-band colored LED lights, possibly combined with color filters to refine the spectral distributions. In each configuration, a beam splitter assembly is used to align two or more color cameras having different color filters placed over their lenses. By use of such techniques, a single multispectral photograph of a subject provides enough information to recover both the full-color reflectance and the surface normals on a per-pixel basis.

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Номер записи: 21
08-03-2012 дата публикации

Apparatus and method for recognizing identifier of vehicle

Номер: US20120057756A1
Автор: Do Hyung Kim, Ho Sub Yoon, Jae Hong Kim, Jae Yeon Lee, Joo Chan Sohn, Kyu Dae BAN, Su Young Chi, Woo Han Yun, Young Woo Yoon
Принадлежит: Electronics and Telecommunications Research Institute ETRI

The present invention detects a candidate ROI group associated with character strings/figure strings on the basis of a result acquired through prior learning of various types of license plates, verifies the interested region candidate group detected by using at least one condition of five predetermined conditions, and determines an MBR region in the selected ROI region from the verified interested region candidate group by considering a ratio between the height and width of the ROI region to recognize the license plate for the automobile. According to the present invention, it is possible to automatically detect the location of the license plate regardless of various types of license plate specifications defined for each of countries.

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Номер записи: 22
15-03-2012 дата публикации

Apparatus and method for acquiring high quality eye images for iris recognition

Номер: US20120062720A1
Автор: Dae Hoo Kim, Hwan Pyo Moon, Hyeong In Choi, Jung Kyo Sohn, Seung Min Paik, Song Hwa Kwon, Sung Jin Lee
Принадлежит: Individual

The present invention provides a method for acquiring high quality eye images, comprising the steps of: dividing a camera mode for eye image acquisition into a pre-photographing mode and a main photographing mode, comparing the degree of eye capture, actual eye, resolution, contrast ratio, noise level, angle of the face when an object to be photographed stares at a lens, location of the pupil in the eye, and the degree of exposure of the iris in the eye, etc., with a preset reference quality condition to evaluate the quality of eye images acquired in the pre-photographing mode, and switching from the pre-photographing mode to the main photographing mode if the preset reference quality condition is satisfied; capturing a plurality of eye images in the main photographing mode, finishing the main photographing mode if the preset condition for finishing the main photographing mode is satisfied, and setting a candidate group from the stored plurality of images; comparing the images with the preset reference quality condition if no candidate group is set, and returning to the main photographing mode or pre-photographing mode in accordance with the result of the comparison; and selecting final images from the candidate group if the candidate group is set.

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Номер записи: 23
15-03-2012 дата публикации

Method and apparatus for processing an image comprising characters

Номер: US20120063687A1
Автор: Hao Yu, Jun Sun, SATOSHI Naoi
Принадлежит: Fujitsu Ltd

Method and apparatus for processing an image including a character are disclosed. The method may include: searching in a set of characters one or more characters having highest similarities of shape to a character in the set of characters, hereinafter the character being referred to as a first character, the one or more searched characters forming a similar character list of the first character; searching in the set of characters one or more characters having highest similarities of shape to each character in the similar character list of the first character, to form a similar character list of each character in the similar character list of the first character; and selecting in the similar character lists one or more characters having a high mutual similarity between each other, as a character cluster.

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Номер записи: 24
15-03-2012 дата публикации

Navigation device & method

Номер: US20120065873A1
Автор: Tom Van de Velde
Принадлежит: TomTom North America Inc

Embodiments of the present invention relate to a method of 5 determining speed information for one or more road segments in map data, comprising receiving ( 610 ) probe data ( 530 ) relating to the one or more road segments, determining ( 650 ) a speed formula ( 550 ) for the one or more road segments based on the probe data ( 530 ), and determining the speed information for the one or more road segments according to the speed formula ( 530 ).

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Номер записи: 25
22-03-2012 дата публикации

Gesture recognition system for tv control

Номер: US20120069168A1
Автор: Kuang-Man Huang, Liangyin Yu, Ming-Chang Liu
Принадлежит: Sony Corp

A gesture recognition system using a skin-color based method combined with motion information to achieve real-time segmentation. A Kalman filter is used to track the centroid of the hand. The palm center, palm bottom, as well as the largest distance from the palm center to the contour from extracted hand mask are computed. The computed distance to a threshold is then compared to decide if the current posture is “open” or “closed.” In a preferred embodiment, the transition between the “open” and “closed” posture to decide if the current gesture is in “select” or “grab” state.

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Номер записи: 26
22-03-2012 дата публикации

Foreground/Background Separation Using Reference Images

Номер: US20120069222A1
Автор: Adrian Capata, Adrian Zamfir, Alexandru Drimbarean, Eran Steinberg, Mihai Ciuc, Peter Corcoran, Petronel Bigioi
Принадлежит: Tessera Technologies Ireland Ltd

A technique involves distinguishing between foreground and background regions of a digital image of a scene. First and second images are captured of nominally a same scene. The first image is a relatively high resolution image taken with the foreground more in focus than the background, while the second image is a relatively low resolution reference image taken with the background more in focus than the foreground. Regions of the captured images are assigned as foreground or background. In accordance with the assigning, one or more processed images are rendered based on the first image or the second image, or both.

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Номер записи: 27
22-03-2012 дата публикации

Document management system and method thereof

Номер: US20120069408A1
Автор: Masami Tsutsumi
Принадлежит: Toshiba Corp, Toshiba TEC Corp

A document management system including a two dimensional code region detection portion that detects a two dimensional code region included in image data, obtained by scanning a document to be managed; a two dimensional code decoding portion that decodes document management information included in the two dimensional code; a layout analysis portion that analyzes a layout of the document; a low resolution portion that obtains data in which a background image becomes low resolution; a two dimensional code character and background processing portion that changes the content of the document; a two dimensional code character encoding portion that encodes the two dimensional code; a background encoding portion that encodes data of the background image; a document filing portion that generates a document file; and a file management portion that adds document management information, decoded by the two dimensional decoding portion, to the document file formed by the document filing portion.

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Номер записи: 28
22-03-2012 дата публикации

Image processing based on visual attention and reduced search based generated regions of interest

Номер: US20120070075A1
Автор: Lalitha M. Eswara
Принадлежит: Honeywell International Inc

A system for complexity reduction in images involving concepts of visual attention based most probable region detection for object presence and perspective-view based reduced scale-search approaches. Visual attention concept in context uses gradient and contrast of an image. A pixel meeting certain criteria for gradient or contrast values may be further processed for object presence. Limiting image processing to such regions may reduce the complexity of digitized images. Post processing the outcome using morphological operations like dilation and erosion appropriately may help retain some of the missed object pixels in the resultant image. Typically image blocks at different scales are searched for object presence. Reduced-scale search involves removing certain scales during search. As object size in image varies with its location scales within a given scale-range if searched, may lead to higher chances of object presence. This is implemented using relative heights and widths estimation using the perspective view concept.

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Номер записи: 29
29-03-2012 дата публикации

Optoelectronic sensor

Номер: US20120074296A1
Автор: Ingolf Braune, Markus Hammes, Shane Macnamara, Stephan Schmitz
Принадлежит: SICK AG

An optoelectronic sensor ( 10 ) for monitoring a working area ( 42 ) is provided, the working area ( 42 ) being located within a detection area ( 20 ) of the sensor ( 10 ) and in a first distance from the sensor ( 10 ), wherein the sensor ( 10 ) comprises an illumination unit ( 22 ) with a light source ( 24 ) for at least partially illuminating the working area ( 42 ), and an object detection unit ( 30 ) for detecting forbidden objects in the working area ( 42 ), wherein an illumination control ( 28 ) of the illumination unit ( 22 ) is configured to, during a startup period, initially activate the illumination unit ( 28 ) with a lower power such that a provisional working area ( 40, 40 a - c ) in a second distance from the sensor ( 10 ) less than the first distance is illuminated at most with a predetermined maximum light output; test whether there is a forbidden object intrusion into the provisional working area ( 40, 40 a - c ); and if no forbidden object intrusion is detected, activate the illumination unit ( 28 ) with a higher power such that the working area ( 42 ) is illuminated at most with the predetermined maximum light output. The illumination control ( 28 ) comprises a short range object detection unit ( 39 ) configured to test the provisional working area ( 40, 40 a - c ) in a different way than the object detection unit ( 30 ) tests the working area ( 42 ).

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Номер записи: 30
05-04-2012 дата публикации

Contextual information encoded in a formed expression

Номер: US20120081238A1
Автор: Alexander J. Cohen, B. Isaac Cohen, Ed Harlow, Eric C. Leuthardt, Mark A. Malamud, Royce A. Levien
Принадлежит: SEARETE LLC

Embodiments include a method, a manual device, a handheld manual device, a handheld writing device, a system, and an apparatus. An embodiment provides a manual device operable in a context. The manual device includes a writing element operable to form a mark on a surface in response to a movement of the writing element with respect to the surface. The manual device also includes a controller operable to encode information corresponding to the context of the manual device by regulating the formation of the mark.

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Номер записи: 31
05-04-2012 дата публикации

Method for analyzing biological specimens by spectral imaging

Номер: US20120082362A1
Автор: Benjamin Bird, Max Diem, Milos Miljkovic, Stanley H. Remiszewski
Принадлежит: Northeastern University Boston

A method for analyzing biological specimens by spectral imaging to provide a medical diagnosis includes obtaining spectral and visual images of biological specimens and registering the images to detect cell abnormalities, pre-cancerous cells, and cancerous cells. This method eliminates the bias and unreliability of diagnoses that is inherent in standard histopathological and other spectral methods. In addition, a method for correcting confounding spectral contributions that are frequently observed in microscopically acquired infrared spectra of cells and tissue includes performing a phase correction on the spectral data. This phase correction method may be used to correct various types of absorption spectra that are contaminated by reflective components.

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Номер записи: 32
12-04-2012 дата публикации

Digital image analysis using multi-step analysis

Номер: US20120087556A1
Автор: Akira Nakamura, Jun Yokono, Shengyang Dai, Su Wang, Takeshi Ohashi
Принадлежит: Sony Corp

Systems and methods for implementing a multi-step image recognition framework for classifying digital images are provided. The provided multi-step image recognition framework utilizes a gradual approach to model training and image classification tasks requiring multi-dimensional ground truths. A first step of the multi-step image recognition framework differentiates a first image region from a remainder image region. Each subsequent step operates on a remainder image region from the previous step. The provided multi-step image recognition framework permits model training and image classification tasks to be performed more accurately and in a less resource intensive fashion than conventional single-step image recognition frameworks.

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Номер записи: 33
12-04-2012 дата публикации

Image processing device

Номер: US20120087576A1
Автор: Akira Kumagai, Hiroshi Abe
Принадлежит: Fujitsu Semiconductor Ltd

An image processing device has a classification unit that generates a lookup table by dividing color palettes correlating RGB data with indices into a plurality of groups based on a relationship among R values, G values and B values of the RGB data; a storage unit that stores the lookup table; and a conversion unit that determines to which of the plurality of groups pixel data having the RGB data corresponds based on a relationship among R values, G values and B values of the pixel data, and searches for RGB data that is similar to the RGB data of the pixel data in the determined group, and outputs an index corresponding to the searched RGB data as pixel data.

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Номер записи: 34
19-04-2012 дата публикации

Method and apparatus for scanning optical code

Номер: US20120091207A1
Автор: Hiroshi Hayakawa, Kazunori Noborio, Masayoshi Yamanouchi, Yo Tanaka, Zhihui Duan
Принадлежит: Opticon Inc, Optoelectronics Co Ltd

An optical aberration is intentionally introduced into the optical system which produces the scanning beam of an optical code scanner, in order to produce a scanning beam which has plural focal points or waists at different distances from the scanner. The operating range of the scanner can thereby be increased by taking advantage of different beam waist locations when the optical code is at different distances from the scanner. In accordance with an embodiment of the invention, coma is intentionally introduced to an optical system providing a light beam for an optical code scanner. This provides a scanning beam with plural beam waists at different distances from the scanner. This may be accomplished by orienting the light source and focusing optical system so that their optical axes intersect or by introducing an optical member, such as a prism, between the original light source and the focusing optical system.

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Номер записи: 35
19-04-2012 дата публикации

Automatically tracking user movement in a video chat application

Номер: US20120092445A1
Автор: Brian McDowell, Darren Apfel
Принадлежит: Microsoft Corp

A system for automatically tracking movement of a user participating in a video chat application executing in a computing device is disclosed. A capture device connected to the computing device captures a user in a field of view of the capture device and identifies a sub-frame of pixels identifying a position of the head, neck and shoulders of the user in a capture frame of a capture area. The sub-frame of pixels is displayed to a remote user at a remote computing system who is participating in the video chat application with the user. The capture device automatically tracks the position of the head, neck and shoulders of the user as the user moves to a next location within the capture area. A next sub-frame of pixels identifying a position of the head, neck and shoulders of the user in the next location is identified and displayed to the remote user at the remote computing device.

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Номер записи: 36
19-04-2012 дата публикации

Batch Detection Association for Enhanced Target Descrimination in Dense Detection Environments

Номер: US20120093359A1
Автор: Steven T. Cummings, Thomas Kurien
Принадлежит: Raytheon Co

The embodiments described herein relate to systems and techniques for processing batch detection information received from one or more sensors configured to observe objects of interest. In particular the systems and techniques are configured to enhance track performance particularly in dense target environments. A substantially large number of batch detections can be processed in a number of phases of varying complexity. An initial phase performs relatively low complexity processing on substantially all detections obtained over an extended batch period, approximating object motion with a simplified model (e.g., linear). The batch detections are divided and redistributed into swaths according to the resulting approximations. A subsequent phase performs greater complexity (e.g., quadratic) processing on the divided sets of detections. The subdivision and redistribution of detections lends itself to parallelization. Beneficially, detections over extended batch periods can be processed very efficiently to provide improved target tracking and discrimination in dense target environments.

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Номер записи: 37
19-04-2012 дата публикации

Event determination by alignment of visual and transaction data

Номер: US20120093370A1
Автор: Arun Hampapur, Lei DING, Prasad Gabbur, Quanfu Fan, Sachiko Miyazawa, Sharathchandra U. Pankanti
Принадлежит: International Business Machines Corp

Determination of human behavior from an alignment of data streams includes acquiring visual image primitives from a video input comprising visual information relevant to a human activity. The primitives are temporally aligned to an optimally hypothesized sequence of primitives transformed from a sequence of transactions as a function of a distance metric between the observed primitive sequence and the transformed primitive sequence. More particularly, transforming includes comparing the distance metric costs and choosing and performing the lowest cost of temporally matching the observed primitives to one or more transactions, deleting a primitive, or associating a primitive with a pseudo transaction marker. Accordingly, alerts are issued based on analysis of the transformation of primitives.

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Номер записи: 38
19-04-2012 дата публикации

Digital image analysis utilizing multiple human labels

Номер: US20120093396A1
Автор: Akira Nakamura, Jun Yokono, Shengyang Dai, Su Wang, Takeshi Ohashi
Принадлежит: Sony Corp

Systems and methods for implementing a multi-label image recognition framework for classifying digital images are provided. The provided multi-label image recognition framework utilizes an iterative, multiple analysis path approach to model training and image classification tasks. A first iteration of the multi-label image recognition framework generates confidence maps for each label, which are shared by the multiple analysis paths to update the confidence maps in subsequent iterations. The provided multi-label image recognition framework permits model training and image classification tasks to be performed more accurately than conventional single-label image recognition frameworks.

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Номер записи: 39
19-04-2012 дата публикации

System and method for multi-agent event detection and recognition

Номер: US20120093398A1
Автор: Changjiang Yang, FENG HAN, Harpreet Singh Sawhney, Hui Cheng
Принадлежит: SRI International Inc

A method and system for creating a histogram of oriented occurrences (HO2) is disclosed. A plurality of entities in at least one image are detected and tracked. One of the plurality of entities is designated as a reference entity. A local 2-dimensional ground plane coordinate system centered on and oriented with respect to the reference entity is defined. The 2-dimensional ground plane is partitioned into a plurality of non-overlapping bins, the bins forming a histogram, a bin tracking a number of occurrences of an entity class. An occurrence of at least one other entity of the plurality of entities located in the at least one image may be associated with one of the plurality of non-overlapping bins. A number of occurrences of entities of at least one entity class in at least one bin may be into a vector to define an HO2 feature.

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Номер записи: 40
26-04-2012 дата публикации

Imaging system for vehicle

Номер: US20120098968A1
Автор: Kenneth Schofield, Niall R. Lynam
Принадлежит: Donnelly Corp

An imaging system for a vehicle includes a camera, an image processor and a control. The field of view of the camera is in a forward direction of travel of the equipped vehicle, and the camera is operable to capture frames of image data. The image processor is operable to process the image data. The control is operable to adjust a light beam emanating from a forward facing light of the equipped vehicle responsive to image processing of frames of image data. The control, responsive to the image processing, is operable to control at least one of (a) adjustment of a beam direction of a light beam emanating from the forward facing light, (b) adjustment of a visible intensity of a light beam emanating from the forward facing light and (c) adjustment of a range of a light beam emanating from the forward facing light.

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Номер записи: 41
26-04-2012 дата публикации

Image recognition apparatus

Номер: US20120099763A1
Автор: Kimitaka Murashita, Tetsuhiro KATOH
Принадлежит: Denso Ten Ltd

An image recognition part of an image recognition apparatus recognizes an object based on a target area in an outside-vehicle image obtained by a camera installed in a vehicle. A position identifying part identifies an optical axis position of the camera relative to the vehicle based on the outside-vehicle image, and an area changing part changes a position of the target area in the outside-vehicle image according to the optical axis position of the camera. Therefore, it is possible to recognize an object properly based on the target area in the outside-vehicle image even though the optical axis position of the camera is displaced.

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Номер записи: 42
26-04-2012 дата публикации

Object detection device and system

Номер: US20120099790A1
Автор: Chun-Gi LYUH, Ik Jae CHUN, JUNG Hee Suk, Sanghun Yoon, Sung-jea Ko, Tae Moon Roh, You-Sun Kim
Принадлежит: Electronics and Telecommunications Research Institute ETRI

Provided are an object detection device and system. The object detection device includes an outline image extraction unit, a feature vector calculation unit, and an object judgment unit. The outline image extraction unit extracts an outline image from an input image. The feature vector calculation unit calculates a feature vector from the outline image by using histogram of oriented gradients (HOG) representing a frequency distribution of gradient vectors with respect to pixels of the outline image, and pixel coordinate information varying according to a spatial distribution of the gradient vectors. The object judgment unit judges a target object corresponding to the feature vector with reference to pre-learned data.

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Номер записи: 43
03-05-2012 дата публикации

Detector for chemical, biological and/or radiological attacks

Номер: US20120106782A1
Автор: Albert Kay, Anoo Nathan, Chandan Gope
Принадлежит: Intellivision Technologies Corp

This specification generally relates to methods and algorithms for detection of chemical, biological, and/or radiological attacks. The methods use one or more sensors that can have visual, audio, and/or thermal sensing abilities and can use algorithms to determine by behavior patterns of people whether there has been a chemical, biological and/or radiological attack.

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Номер записи: 44
03-05-2012 дата публикации

Face or Other Object Detection Including Template Matching

Номер: US20120106790A1
Автор: Bogdan Sultana, Corneliu Zaharia, Mihnea Gangea, Peter Corcoran, Petronel Bigioi, Radu Nicolau, Stefan Petrescu, Szabolcs Fulop, Vlad Ionut Ursachi
Принадлежит: DigitalOptics Corp Europe Ltd

A template matching module is configured to program a processor to apply multiple differently-tuned object detection classifier sets in parallel to a digital image to determine one or more of an object type, configuration, orientation, pose or illumination condition, and to dynamically switch between object detection templates to match a determined object type, configuration, orientation, pose, blur, exposure and/or directional illumination condition.

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Номер записи: 45
03-05-2012 дата публикации

Systems and methods to improve feature generation in object recognition

Номер: US20120106847A1
Автор: Yingyong Qi
Принадлежит: Qualcomm Inc

Present embodiments contemplate systems, apparatus, and methods to improve feature generation for object recognition. Particularly, present embodiments contemplate excluding and/or modifying portions of images corresponding to dispersed pixel distributions. By excluding and/or modifying these regions within the feature generation process, fewer unfavorable features are generated and computation resources may be more efficiently employed.

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Номер записи: 46
10-05-2012 дата публикации

Counterfeit detection system

Номер: US20120114170A1
Автор: Jason S. Aronoff, Malgorzata M. Sturgill, Steven J. Simske
Принадлежит: Hewlett Packard Development Co LP

A counterfeit detection system is disclosed herein. The system includes an image reduction system for minimizing size of at least one original image using a plurality of different reduction strategies to generate a plurality of minimized images. The system further includes a classification system which includes a first sub-system for generating at least one accuracy comparative assessment metric for each of the plurality of minimized images, a second sub-system for comparing the at least one accuracy comparative assessment metric for each of the plurality of minimized images with an accuracy assessment metric for the at least one original image, and a third sub-system for determining if at least one of the plurality of minimized images can be transmitted with improved or equivalent classification accuracy at a reduced bandwidth when compared to the original image are also part of the system.

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Номер записи: 47
10-05-2012 дата публикации

Online Script Independent Recognition of Handwritten Sub-Word Units and Words

Номер: US20120114245A1
Автор: Lajish Vimala Lakshmanan, Sunil Kumar KOPPARAPU
Принадлежит: Tata Consultancy Services Ltd

The present invention relates to a method and system for online script independent recognition of handwritten sub-word unit and words. More particularly the present invention relates to a system and method which enables online recognition of script independent sub-word unit and words by recognizing the written individual strokes prior to recognition of sub-word unit and words. The present invention provides an easy and natural to use method for handwritten sub-word unit and word recognition, wherein the application can be deployed on the existing communication means.

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Номер записи: 48
17-05-2012 дата публикации

Method for optical pose detection

Номер: US20120121124A1
Автор: Christoph Forman, Murat AKSOY, Roland Bammer
Принадлежит: Leland Stanford Junior University

The tracking and compensation of patient motion during a magnetic resonance imaging (MRI) acquisition is an unsolved problem. A self-encoded marker where each feature on the pattern is augmented with a 2-D barcode is provided. Hence, the marker can be tracked even if it is not completely visible in the camera image. Furthermore, it offers considerable advantages over a simple checkerboard marker in terms of processing speed, since it makes the correspondence search of feature points and marker-model coordinates, which are required for the pose estimation, redundant. Significantly improved accuracy relative to a planar checkerboard pattern is obtained for both phantom experiments and in-vivo experiments with substantial patient motion. In an alternative aspect, a marker having non-coplanar features can be employed to provide improved motion tracking. Such a marker provides depth cues that can be exploited to improve motion tracking. The aspects of non-coplanar patterns and self-encoded patterns can be practiced independently or in combination.

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Номер записи: 49
17-05-2012 дата публикации

Image processing apparatus and image processing method

Номер: US20120121201A1
Автор: Akira Ichimura
Принадлежит: Canon Inc

M-value image data is inputted; a value of a pixel of interest in the inputted image data is quantized to N(N>M) value by an error diffusion method; it is determined whether both of a value of the pixel of interest to be quantized and an error value to be added to the pixel of interest are zero; and if it is determined that the value of the pixel of interest and the error value are zero, zero is outputted as a quantization result without performing quantization by the error diffusion method.

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Номер записи: 50
17-05-2012 дата публикации

Importance filtering for image retargeting

Номер: US20120121204A1
Автор: Jing Xiao, Yuanyuan Ding
Принадлежит: Seiko Epson Corp

A content-aware image retargeting technique uses an “importance filtering” technique to preserve important information in the resizing of an image. The image saliency is first filtered, guided by the image itself to achieve a structure-consistent importance map. The pixel importance is then used as the key constraint in computing the gradient map of pixel shifts from the original resolution to the target resolution. Finally the shift gradient is integrated across the image by a weighted filtering process to construct a smooth pixel shift-map and render the target image. The weight is again controlled by the pixel importance. The two filtering processes enforce the maintaining of structural consistency while preserving the important contents in the target image. The simple nature of the present filter operations allow for real-time applications and easy extension to video retargeting, as the structural constraints from the original image naturally convey the temporal coherence between frames.

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Номер записи: 51
24-05-2012 дата публикации

Method for Traffic Sign Recognition

Номер: US20120128210A1
Автор: Matthias Zobel
Принадлежит: Conti Temic Microelectronic GmbH

The invention relates to a method for traffic sign recognition that analyzes and classifies the image data of a sensor ( 1 ) in an information processing unit, wherein at least one image detail ( 10 ) that sufficiently probably contains an object that is a traffic sign belonging to a particular class of traffic signs is determined on the basis of the results of an analysis in a first procedure step, and this image detail ( 10 ) is submitted, in a second procedure step, to a classificator ( 5 ) that recognizes a traffic sign belonging to the particular class on the basis of the selected image detail ( 10 ) by means of a learning-based algorithm; according to the invention a class-specific feature ( 11 ) is identified in the image detail ( 10 ) in the first procedure step, a modified image detail ( 12 ) with the class-specific feature ( 11 ) in the image center thereof is generated, wherein the image regions ( 13, 14, 15 ) created by shifting the class-specific feature ( 11 ) to the image center are padded with suitable pixels, and the modified image detail ( 12 ) is submitted to the classificator ( 5 ).

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Номер записи: 52
31-05-2012 дата публикации

Electronic writing instrument, computer system, electronic writing method and computer readable medium

Номер: US20120133620A1
Автор: Eigo Nakagawa, Eisuke Osakabe, Hiroyuki Funo, Shin Takeuchi, Tomohito Takagi
Принадлежит: Fuji Xerox Co Ltd

The electronic writing instrument is provided with: a writing unit that writes down on a medium where a code indicating identity information and location information of the medium is formed; an emitting unit that emits light to the medium; a photoelectric conversion unit that includes photoelectric conversion element receiving a reflected light from the medium by the light emitted by the emitting unit and outputting an electronic signal after converting the reflected light by photoelectric conversion; a receiving unit that receives a user operation; and a condition changing unit that changes at least any one of an emitting condition of the emitting unit to the medium and an output condition of the photoelectric conversion unit when the receiving unit receives an operation.

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Номер записи: 53
31-05-2012 дата публикации

Smartphone-Based Methods and Systems

Номер: US20120134548A1
Автор: Geoffrey B. Rhoads, Tony F. Rodriquez, William Y. Conwell
Принадлежит: Digimarc Corp

Methods and arrangements involving portable devices are disclosed. One arrangement enables a content creator to select software with which that content should be rendered—assuring continuity between artistic intention and delivery. Another arrangement utilizes the camera of a smartphone to identify nearby subjects, and take actions based thereon. Others rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some of the detailed technologies concern improvements to the user interfaces associated with such devices. Others involve use of these devices in connection with shopping, text entry, sign language interpretation, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern use of linked data in portable devices—some of which exploit GPU capabilities. Still other technologies concern computational photography. A great variety of other features and arrangements are also detailed.

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Номер записи: 54
31-05-2012 дата публикации

Automatic recognition of images

Номер: US20120134576A1
Автор: Anjaneyulu Seetha Rama Kuchibhotla, Avinash SHARMA, Serene BANERJEE
Принадлежит: Hewlett Packard Development Co LP

Presented is a method of automatically performing an action, based on graphical input. The method comprises: receiving, for a user, an input image; comparing the input image with the contents of a user-customized database comprising a plurality of records, each record representing a predefined class of image, wherein the user has previously associated records in the database with respective specified actions; attempting to recognize the image, based on the similarity of the input image to one of the predefined classes of image represented in the user-customised database; and if the image is recognized, performing the action previously associated by the user with the class. Also presented is apparatus for recognizing an image and a method of constructing a user-customized database.

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Номер записи: 55
07-06-2012 дата публикации

Methods and Systems for Discovering Styles Via Color and Pattern Co-Occurrence

Номер: US20120140987A1
Автор: Nima Sarshar, Sudhir Kumar Singh, Vwani Roychowdhury
Принадлежит: Haileo Inc

Methods and systems for discovering styles via color and pattern co-occurrence are disclosed. According to one embodiment, a computer-implemented method comprises collecting a set of fashion images, selecting at least one subset within the set of fashion images, the subset comprising at least one image containing a fashion item, and computing a set of segments by segmenting the at least one image into at least one dress segment. Color and pattern representations of the set of segments are computed by using a color analysis method and a pattern analysis method respectively. A graph is created wherein each graph node corresponds to one of a color representation or a pattern representation computed for the set of segments. Weights of edges between nodes of the graph indicate a degree of how the corresponding colors or patterns complement each other in a fashion sense.

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Номер записи: 56
07-06-2012 дата публикации

Methods and apparatus for automated true object-based image analysis and retrieval

Номер: US20120140990A1
Автор: Jamie E. Retterath, Robert A. Laumeyer
Принадлежит: Google LLC

An automated and extensible system for analysis and retrieval of images based on region-of-interest (ROI) analysis of one or more true objects depicted by an image is provided. The system uses an database that is a relational or analytical database containing searchable vectors that represent the images stored in a repository. Entries in the database are created by an image locator and ROI classifier working together to locate images within the repository and extract relevant information to be stored in the ROI database. The ROI classifier analyzes objects in an image to arrive at actual features of the true object. Graphical searches are performed by the collaborative workings of an image retrieval module, an image search requestor and an ROI query module. The image search requestor is an abstraction layer that translates user or agent search requests into the language understood by the ROI query.

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Номер записи: 57
07-06-2012 дата публикации

Image processing apparatus and image processing method

Номер: US20120140994A1
Автор: Satoshi Yamada
Принадлежит: Canon Inc

An image processing apparatus comprises a face detection unit configured to periodically perform face detection processing of detecting a face area of a person from an image; an authentication unit configured to periodically perform personal authentication processing for the detected face area; and a calculation unit configured to calculate a determination criterion to select a face area as a target of the personal authentication processing from the detected face areas, wherein the authentication unit performs the personal authentication processing at a cycle longer than that of the face detection processing, and when the face detection unit detects the face areas from a plurality of images, selects a face area complying with the determination criterion calculated by the calculation unit from the face areas of the plurality of images as the target of the personal authentication processing.

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Номер записи: 58
07-06-2012 дата публикации

Code Recognition Method, Device and Computer Readable Storage Medium for Storing Code Recognition Method

Номер: US20120141030A1
Автор: Jing-Fung CHEN, Yi-Chong Zeng
Принадлежит: INSTITUTE FOR INFORMATION INDUSTRY

A code recognition method includes the following steps: a first code-image block is received. Wherein, several first codes are displayed on the first code-image block. The first code-image block is partitioned into several second code-image blocks. Wherein, each of the second code-image blocks displays a second code respectively. Each of the second codes is one of the first codes. Each of the second code-image blocks is recognized as several third codes corresponding to each of the second codes respectively. Some of the neighboring second code-image blocks are combined to form several third code-image blocks. Wherein, each of the third code-image blocks displays a first code set, which comprises some of the second codes. Each of the third code-image blocks is recognized as a second code set corresponding to each of the first code sets respectively. Wherein, each of the second code sets includes the codes selected from the third codes.

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Номер записи: 59
14-06-2012 дата публикации

Gesture recognition apparatus, gesture recognition method, control program, and recording medium

Номер: US20120146903A1
Автор: Masahiro Abe, Masahiro Kinoshita, Takeshi Arihara
Принадлежит: Omron Corp

A gesture recognition apparatus has a temperature sensor in which a plurality of infrared sensors are arranged, a change region specifying unit that specifies a change region where a temperature change is generated as a region indicating a hand based on a temperature detected by each infrared sensor of the temperature sensor, and a gesture recognition unit that specifies a movement locus of the change region specified by the change region specifying unit and recognizes a gesture of the hand.

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Номер записи: 60
14-06-2012 дата публикации

Generating a suitable model for estimating patient radiation dose resulting from medical imaging scans

Номер: US20120148131A1
Автор: Gregory Couch, James Couch
Принадлежит: Radimetrics Inc

Techniques are disclosed for estimating patient radiation exposure during computerized tomography (CT) scans. More specifically, embodiments of the invention provide efficient approaches for generating a suitable patient model used to make such an estimate, to approaches for estimating patient dose by interpolating the results of multiple simulations, and to approaches for a service provider to host a dose estimation service made available to multiple CT scan providers.

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Номер записи: 61
14-06-2012 дата публикации

Image matching devices and image matching methods thereof

Номер: US20120148164A1
Автор: Chun-Gi LYUH, Ik Jae CHUN, JUNG Hee Suk, Sanghun Yoon, Tae Moon Roh
Принадлежит: Electronics and Telecommunications Research Institute ETRI

Provided is an image matching method of matching at least two images. The image matching method extracts feature points of a reference image and feature points of a target image, changes a feature point, selected from among the feature points of the reference image, to a reference point in the target image, sets a matching candidate region on the basis of the reference point, in the target image, and performs a similarity operation between the selected feature point in the reference image and a plurality of feature points included in the matching candidate region among the feature points of the target image. The image matching method decreases the number of similarity operations performed in the image matching operation, thereby guaranteeing a high-speed operation.

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Номер записи: 62
14-06-2012 дата публикации

Method, Apparatus and Server for User Verification

Номер: US20120151603A1
Автор: Liangjing WANG
Принадлежит: Alibaba Group Holding Ltd

The present disclosure discloses a method, apparatus, and server for user verification to store a plurality of pictures in a database and define a plurality of rotational directions. The method includes: when receiving from a client a request for a checkcode, rotating a picture retrieved from a database according to a defined rotational direction; after storing a correlation between an identification of the client and the rotational direction of the retrieved picture, outputting the rotated picture to the client; receiving a rotational direction of the picture from the client; finding the stored correlation between the identification of the client and the stored rotational direction of the retrieved picture according to the identification of the client; determining whether or not the rotational direction of the picture returned from the client matches the stored rotational direction. If they match, user verification is passed; otherwise, the user verification is failed. The large number of pictures in the database makes it difficult for enumeration. In addition, by using the rotational direction as identification information to verify user, the safety and accuracy of user verification can be enhanced.

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Номер записи: 63
21-06-2012 дата публикации

Method of detecting defect in pattern and apparatus for performing the same

Номер: US20120155740A1
Автор: Dong-ryul Lee, Jin-Seo CHOI, Yong-min Cho
Принадлежит: SAMSUNG ELECTRONICS CO LTD

A method and apparatus for detecting a defect in a pattern are provided. The method includes: obtaining a pattern image from a pattern in a region of interest on a semiconductor substrate and obtaining a reference image are obtained; matching the obtained pattern image and the obtained reference image to select a pixel group including pixels indicating defect information of the pattern image; adjusting a defect detection threshold of the selected pixel group; comparing the obtained pattern image and the obtained reference image to detect a pattern defect in a detection region corresponding to the selected pixel group of the pattern image, according to the adjusted defect detection threshold.

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Номер записи: 64
21-06-2012 дата публикации

Validation analysis of human target

Номер: US20120159290A1
Автор: Charles Claudius Marais, Craig Carroll Peeper, James Chadon Foster, Jon D. Pulsipher, Joseph Bertolami, Kien Toan Huynh, Michael Taylor Janney, Nazeeh Amin ElDirghami, Parham Mohadjer, Patrick Orville Cook, Robert John Fitzgerald, Ronald Omega Forbes, JR., Shao Liu, Spencer Dean Perreault, Szymon P. Stachniak, Tommer Leyvand, Wayne Richard Bisson
Принадлежит: Microsoft Corp

Technology for testing a target recognition, analysis, and tracking system is provided. A searchable repository of recorded and synthesized depth clips and associated ground truth tracking data is provided. Data in the repository is used by one or more processing devices each including at least one instance of a target recognition, analysis, and tracking pipeline to analyze performance of the tracking pipeline. An analysis engine provides at least a subset of the searchable set responsive to a request to test the pipeline and receives tracking data output from the pipeline on the at least subset of the searchable set. A report generator outputs an analysis of the tracking data relative to the ground truth in the at least subset to provide an output of the error relative to the ground truth.

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Номер записи: 65
28-06-2012 дата публикации

Object Processing Employing Movement

Номер: US20120163666A1
Автор: Brett A. Bradley, Geoffrey B. Rhoads, Tony F. Rodriguez
Принадлежит: Individual

Directional albedo of a particular article, such as an identity card, is measured and stored. When the article is later presented, it can be confirmed to be the same particular article by re-measuring the albedo function, and checking for correspondence against the earlier-stored data. The re-measuring can be performed through us of a handheld optical device, such as a camera-equipped cell phone. The albedo function can serve as random key data in a variety of cryptographic applications. The function can be changed during the life of the article. A variety of other features are also detailed.

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Номер записи: 66
28-06-2012 дата публикации

Method and system for determining blended histogram shape identifiers

Номер: US20120166140A1
Автор: James S. Weber
Принадлежит: Individual

A method and system for determining blended histogram shape identifiers. A blended set of possible histogram shapes is created by selecting generated histogram shapes from a first generated set of all possible histogram shapes generated with a first method that include highest order rankings from a first pre-determined ranking order and generated histogram shapes from a second set of all possible histogram shapes generated with a second method that include highest rankings from a second pre-determined ranking order. A graphical histogram is displayed using the third blended set of all possible histogram shapes, thereby creating the graphical histogram with a new set of all possible histogram shapes based on an aggregate rakings order of histogram shapes generated with the first and second methods.

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Номер записи: 67
05-07-2012 дата публикации

Navigating Images Using Image Based Geometric Alignment And Object Based Controls

Номер: US20120169770A1
Автор: Keith Noah Snavely, Richard Szeliski, Steven Maxwell Seitz
Принадлежит: Microsoft Corp, UNIVERSITY OF WASHINGTON

Over the past few years there has been a dramatic proliferation of digital cameras, and it has become increasingly easy to share large numbers of photographs with many other people. These trends have contributed to the availability of large databases of photographs. Effectively organizing, browsing, and visualizing such .seas. of images, as well as finding a particular image, can be difficult tasks. In this paper, we demonstrate that knowledge of where images were taken and where they were pointed makes it possible to visualize large sets of photographs in powerful, intuitive new ways. We present and evaluate a set of novel tools that use location and orientation information, derived semi-automatically using structure from motion, to enhance the experience of exploring such large collections of images.

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Номер записи: 68
05-07-2012 дата публикации

Object detection in crowded scenes

Номер: US20120170805A1
Автор: Behjat Siddiquie, James Petterson, Lisa M. Brown, Rogerio S. Feris, Sharathchandra U. Pankanti
Принадлежит: International Business Machines Corp

Methods and systems are provided for object detection. A method includes automatically collecting a set of training data images from a plurality of images. The method further includes generating occluded images. The method also includes storing in a memory the generated occluded images as part of the set of training data images, and training an object detector using the set of training data images stored in the memory. The method additionally includes detecting an object using the object detector, the object detector detecting the object based on the set of training data images stored in the memory.

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Номер записи: 69
12-07-2012 дата публикации

Mobile information apparatus and display control method

Номер: US20120176353A1
Автор: Junichi Ishii
Принадлежит: NEC Corp

Multiple displays are arranged such that their display surfaces are arrayed side by side. A measurement section measures orientation information about apparatus orientation. A control section determines the display surface a user is viewing from among multiple displays, based on the orientation information measured by the measurement section. The control section causes the display surface of displays, other than the display surface determined as being viewed by the user, to become darker than the display surface of the display determined as being viewed by the user.

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Номер записи: 70
12-07-2012 дата публикации

Automatic Dominant Orientation Estimation In Text Images Based On Steerable Filters

Номер: US20120179468A1
Автор: Oscar Nestares
Принадлежит: Individual

Briefly, in accordance with one or more embodiments, an image processing system is capable of receiving an image containing text, applying optical character recognition to the image, and then audibly reproducing the text via text-to-speech synthesis. Prior to optical character recognition, an orientation corrector is capable of detecting an amount of angular rotation of the text in the image with respect to horizontal, and then rotating the image by an appropriate amount to sufficiently align the text with respect to horizontal for optimal optical character recognition. The detection may be performed using steerable filters to provide an energy versus orientation curve of the image data. A maximum of the energy curve may indicate the amount of angular rotation that may be corrected by the orientation corrector.

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Номер записи: 71
19-07-2012 дата публикации

Distributed image acquisition for postal processing

Номер: US20120182588A1
Автор: John J. Mampe, Stanley W. Sipe
Принадлежит: Siemens Industry Inc

Mail processing methods and systems. A method includes receiving a mailpiece at a local system and scanning the mailpiece by the local system to produce an image. The method can include receiving payment information from the customer by the local system for mailing the mailpiece. The method includes applying an identification code to the mailpiece by the local system, and after the mailpiece is delivered to a central processing facility, processing the mailpiece, using the image, by a central server system at the central processing facility. Related apparatuses and systems are discussed.

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Номер записи: 72
19-07-2012 дата публикации

Identifying descriptor for person or object in an image

Номер: US20120183212A1
Автор: Gianfranco Doretto, Jens Rittscher, Peter H. Tu, Thomas B. Sebastian, Xiaogang Wang
Принадлежит: Lockheed Martin Corp

A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object.

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Номер записи: 73
26-07-2012 дата публикации

Image processing device, image processing method and program

Номер: US20120188283A1
Автор: Takeshi Ohashi
Принадлежит: Sony Corp

An image processing device includes: a first feature amount extraction unit configured to extract a first feature amount from an image; a position detection unit configured to detect observation positions from the image based on a position detection dictionary, and the first feature amount extracted from the image; a second feature amount extraction unit configured to extract a second feature amount from the observation position; an observation-order determining unit configured to determine the order of observing the observation positions based on an order generation dictionary, and respective second feature amounts of the observation positions; and an image generation unit configured to generate observation images for displaying the observation positions in the observation order based on the image, the detected observation positions and the determined observation order.

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Номер записи: 74
26-07-2012 дата публикации

Visual attention apparatus and control method based on mind awareness and display apparatus using the visual attention apparatus

Номер: US20120189161A1
Автор: Chang Hyun Park, Seok Bae Chang, Sung Won Sohn
Принадлежит: Electronics and Telecommunications Research Institute ETRI

Disclosed are a visual attention apparatus based on mind awareness and an image output apparatus using the same. Exemplary embodiments of the present invention can reduce data throughput by performing object segmentation and context analysis according to downsampling and colors and approximate shapes of input images so as to detect attention regions using extrinsic visual attention and intrinsic visual attention. In addition, the exemplary embodiments of the present invention can detect the attention regions having different viewpoints for each user by detecting the attention regions due to the extrinsic visual attention and the intrinsic visual attention and processing and displaying the attention regions as various regions of interest, thereby increasing the image immersion and the utility of contents.

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Номер записи: 75
02-08-2012 дата публикации

Augmented reality system and method for remotely sharing augmented reality service

Номер: US20120195464A1
Автор: Kye Hyuk Ahn
Принадлежит: PANTECH CO LTD

An augmented reality (AR) system and method for remotely sharing an AR service is provided. The AR system includes a plurality of client devices and a host device. The AR system allows information related to a marker and information related an AR object to be shared between client devices participating in an AR session, which may be separated by a reference distance, through a host device. Accordingly, an AR service may be shared between the client devices.

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Номер записи: 76
09-08-2012 дата публикации

Device and method for directing radiation in the direction of an optical element of an image sensing device of a vehicle

Номер: US20120200704A1
Автор: Gian Antonio D'Addetta, Thomas Friedrich, Thomas Lich
Принадлежит: ROBERT BOSCH GMBH

A device for directing radiation in the direction of an optical element of an image sensing device of a vehicle. The device includes a central area for directing at least one portion of a first incident radiation onto the optical element. The device also includes at least one border area for directing at least one portion of at least one second incident radiation onto the optical element. The at least one second incident radiation runs in the opposite direction or at an obtuse angle with respect to the first incident radiation.

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Номер записи: 77
09-08-2012 дата публикации

Living body information registration method, biometrics authentication method, and biometrics authentication apparatus

Номер: US20120201431A1
Автор: Hiroyuki Takamatsu, Kazuhiro Komura
Принадлежит: Fujitsu Frontech Ltd

A vein authentication apparatus registers vein data and vein characteristic amounts, determines comparison order at vein data identification time by sorting records in descending order of degree of similarity on the basis of vein characteristic amounts for comparison and the registered vein characteristic amounts, and makes vein data comparison in accordance with the comparison order. The vein authentication apparatus uses 32 frequencies obtained by performing a Fourier transform, 12 angles obtained by performing a Fourier transform, curvature directions in 36 angle areas, segment directions in 18 angle areas, and a vein amount as the vein characteristic amounts. By doing so, the accuracy of comparison order is improved and a comparison using a record for which a degree of similarity is low can be omitted. As a result, the speed of a comparison process and the maximum number of pieces of living body information which can be registered can be increased.

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Номер записи: 78
09-08-2012 дата публикации

Computer aided diagnostic system incorporating appearance analysis for diagnosing malignant lung nodules

Номер: US20120201445A1
Автор: Ayman S. El-Baz
Принадлежит: University of Louisville Research Foundation ULRF

A computer aided diagnostic system and automated method diagnose lung cancer through modeling and analyzing the visual appearance of pulmonary nodules. A learned appearance model used in such analysis describes the appearance of pulmonary nodules in terms of voxel-wise conditional Gibbs energies for a generic rotation and translation invariant second-order Markov-Gibbs random field (MGRF) model of malignant nodules with analytically estimated characteristic voxel neighborhoods and potentials.

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Номер записи: 79
16-08-2012 дата публикации

Method for Representing Objects with Concentric Ring Signature Descriptors for Detecting 3D Objects in Range Images

Номер: US20120206438A1
Автор: Fatih Porikli, Hien Nguyen
Принадлежит: Mitsubishi Electric Research Laboratories Inc

A 3D object is represented by a descriptor, wherein a model of the 3D object is a 3D point cloud. A local support for each point p in the 3D point cloud is located, and reference x, y, and z axes are generated for the local support. A polar grid is applied according to the references x, y, and z axes a along an azimuth and a radial directions on an xy plane centered on the point p such that each patch on the grid is a bin for a 2D histogram, wherein the 2D histogram is a 2D matrix F on the grid and each coefficient of the 2D matrix F corresponds to the patch on the grid. For each grid location (k, l), an elevation value F(k, l) is estimated by interpolating the elevation values of the 3D points within the patches to produce the descriptor for the point p.

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Номер записи: 80
16-08-2012 дата публикации

Classification device and classification method

Номер: US20120209799A1
Автор: Hiroki Arimura, Iku Ohama, Takuya Kida, Toshihisa Abe
Принадлежит: Panasonic Corp

Provided is a classification device capable of classifying time series data of location information into groups in which continuity of time is secured. The classification device ( 100 ) includes a data storage unit ( 110 ) that stores time-of-day information and location information corresponding to the time-of-day information, a sorting unit ( 120 ) that sorts the location information in order of time using the time-of-day information, a hidden Markov model storage unit ( 130 ) storing therein a left-to-right hidden Markov model containing a plurality of states and in which a parameter is undetermined, a Markov model output unit ( 140 ) that determines the parameter by inputting the location information sorted in order of time into the hidden Markov model, and a classification unit ( 150 ) that classifies each location information in one of the plurality of states by inputting the location information sorted in order of time into the hidden Markov model containing the determined parameter.

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Номер записи: 81
23-08-2012 дата публикации

Subject designating device and subject tracking apparatus

Номер: US20120213406A1
Автор: Hiroshi KINTOU, Ryuichi OHMIYA
Принадлежит: Nikon Corp

A subject designating device includes: a representative value calculation unit that calculates a representative value for each image of a brightness image and chrominance images based upon pixel values indicated at pixels present within a first subject area; a second image generation unit that creates a differential image by subtracting the representative value from pixel values indicated at pixels present within a second subject area; a binarizing unit that binarizes the differential image; a synthesizing unit that creates a synthetic image by combining binary images in correspondence to the brightness image and the chrominance images; a mask extraction unit that extracts a mask constituted with a white pixel cluster from the synthetic image; an evaluation value calculation unit that calculates an evaluation value indicating a likelihood of the mask representing the subject; and a subject designating unit that designates the subject in the target image based upon the evaluation value.

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Номер записи: 82
23-08-2012 дата публикации

Method for Implementing a High-Level Image Representation for Image Analysis

Номер: US20120213426A1
Автор: Hao Su, LI FEI-FEI, Li-Jia Li
Принадлежит: Leland Stanford Junior University

Robust low-level image features have been proven to be effective representations for a variety of visual recognition tasks such as object recognition and scene classification; but pixels, or even local image patches, carry little semantic meanings. For high-level visual tasks, such low-level image representations are potentially not enough. The present invention provides a high-level image representation where an image is represented as a scale-invariant response map of a large number of pre-trained generic object detectors, blind to the testing dataset or visual task. Leveraging on this representation, superior performances on high-level visual recognition tasks are achieved with relatively classifiers such as logistic regression and linear SVM classifiers.

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Номер записи: 83
23-08-2012 дата публикации

Image processing apparatus and image processing method

Номер: US20120213427A1
Автор: Cheng Du
Принадлежит: Ricoh Co Ltd

Disclosed are an image processing apparatus and an image processing method. The image processing apparatus comprises a matching degree calculation unit configured to calculate respective matching degrees between an image waiting for processing and plural training images whose Kansei scores are pre-designated; and a Kansei score calculation unit configured to extract, from the plural training images, a predetermined number of training images corresponding to the maximum matching degree, and then based on the Kansei scores of the extracted training images with regard to a selected Kansei type, calculate a Kansei score of the image waiting for processing.

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Номер записи: 84
23-08-2012 дата публикации

System and method for visual recognition

Номер: US20120213444A1
Автор: Simon Melikian
Принадлежит: RECOGNITION ROBOTICS

A method for visual recognition of an object in an electronic image includes extracting unique points of an object to be learned and/or a target object. The unique points are obtained by cross-correlating the image with a structure. Generally, the structure and/or the size of the structure may vary to detect extremum information associated with the learned object and/or target object. An icon corresponding to each of the unique points is extracted. The size of the icon corresponds to the scale of the unique point. After extraction of the various icons, an object becomes a collection of icons. Each of these icons is un-rotated and normalized or resized to a constant size so it can be compared with other icons.

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Номер записи: 85
30-08-2012 дата публикации

System and method for effectively performing a scene rectification procedure

Номер: US20120219221A1
Автор: Liangyin Yu, Ming-Chang Liu
Принадлежит: Sony Corp

A system and method for effectively performing a scene rectification procedure comprises an image manager that includes a segmentation module, a label module, and a rectification module. The segmentation module initially performs a segmentation procedure upon an image to produce corresponding sub-scenes. The label module then categorizes the sub-scenes by assigning initial labels without utilizing context information from other sub-scenes in the image. The rectification module performs a semantic grouping procedure upon the sub-scenes to produce semantic group nodes corresponding to pairs of the sub-scenes that have a predefined semantic relationship. The rectification module converts a sub-scene graph of the sub-scenes into a semantic graph that includes the semantic group nodes. The rectification module then performs a rectification procedure to convert the initial labels of the sub-scenes into rectified labels. A processor of an electronic device typically controls the image manager for performing the scene rectification procedure.

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Номер записи: 86
30-08-2012 дата публикации

Local Difference Pattern Based Local Background Modeling For Object Detection

Номер: US20120219224A1
Автор: Jing Xiao, Yuanyuan Ding
Принадлежит: Seiko Epson Corp

Systems and methods for object detection that consider background information are presented. Embodiments of the present invention utilizing a feature called Local Difference Pattern (LDP), which is more discriminative for modeling local background image features. In embodiments, the LDP feature is used to train detection models. In embodiments, the LDP feature may be used in detection to differentiate different image background conditions and adaptively adjust classification to yield higher detection rates.

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Номер записи: 87
30-08-2012 дата публикации

Computer-readable storage medium, image recognition apparatus, image recognition system, and image recognition method

Номер: US20120219226A1
Автор: Satoru Osako
Принадлежит: Nintendo Co Ltd

First, it is determined whether or not a contour or vertices have been detected from a certain image. Then, when it is determined that a contour or vertices have been detected from the certain image, a pattern matching process is performed on, in the image, an area surrounded by the contour or the vertices detected from the image. Then, when it is determined that a predetermined object or a predetermined design is displayed in the area, detection position information indicating a position related to the area is stored in a storage area. On the other hand, when it is determined that a contour or vertices have not been detected from the certain image, a pattern matching process is performed on the image on the basis of the detection position information stored in the storage area.

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Номер записи: 88
30-08-2012 дата публикации

Computer-readable storage medium, image recognition apparatus, image recognition system, and image recognition method

Номер: US20120219227A1
Автор: Satoru Osako
Принадлежит: Nintendo Co Ltd

First, a difference between a pixel value of a first pixel in an image and a pixel value of a second pixel is calculated, the second pixel placed a predetermined number of pixels away from the first pixel. Then, when the difference is equal to or greater than a predetermined value, an edge determination threshold is calculated on the basis of: the pixel value of the first pixel or a pixel value of a pixel near the first pixel; and the pixel value of the second pixel or a pixel value of a pixel near the second pixel. Then, an edge pixel corresponding to an edge present between the first pixel and the second pixel is detected by comparing the edge determination threshold with a pixel value of each pixel placed between the first pixel and the second pixel.

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Номер записи: 89
06-09-2012 дата публикации

Empirical data modeling

Номер: US20120226643A1
Автор: Jeffrey Brian Adams
Принадлежит: Neural ID LLC

Methods, apparatuses and systems directed to pattern identification and pattern recognition. In some particular implementations, the invention provides a flexible pattern recognition platform including pattern recognition engines that can be dynamically adjusted to implement specific pattern recognition configurations for individual pattern recognition applications. In some implementations, the present invention also provides for a partition configuration where knowledge elements can be grouped and pattern recognition operations can be individually configured and arranged to allow for multi-level pattern recognition schemes.

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Номер записи: 90
06-09-2012 дата публикации

Automated prostate tissue referencing for cancer detection and diagnosis

Номер: US20120226709A1
Автор: Jin Tae Kwak, Rohit Bhargava, Saurabh Sinha
Принадлежит: University of Illinois

This application provides to a method for identifying one or more prostate tissue samples in a database that are closest to a test prostate sample, which can be used to aid pathologists when examining prostate tissues to attain reliable and consistent diagnoses of prostate cancer. Also provided are databases and computer algorithms that can be used with such methods.

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Номер записи: 91
13-09-2012 дата публикации

Computer-readable storage medium storing image processing program, image processing method, and image processing device

Номер: US20120230589A1
Автор: Daiki Masumoto, Masahiko Sugimura, Masaki Ishihara, Shigemi Nagata, Shugo Nakamura, Susumu Endo, Takayuki Baba, Yusuke Uehara
Принадлежит: Fujitsu Ltd

A computer-readable storage medium storing an image processing program that causes a computer to execute a process includes acquiring the same object identification information included in a plurality of image data items by referring to a storage unit that stores each of the image data items, object identification information that identifies an object included in the image data item, and a location information item that identifies a location of the object in the image data item in association with one another; acquiring the location of the object identified by the acquired object identification information in each of the image data items by referring to the storage unit; computing a difference between the acquired location information items; comparing the difference between the location information items with a predetermined location threshold value; and determining whether the image data items are to be in the same group.

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Номер записи: 92
13-09-2012 дата публикации

Systems and methods for analytic data gathering from image providers at an event or geographic location

Номер: US20120233000A1
Автор: Alex MALINOVSKY, Anthony S. WU, Douglas Van Blaricom, Jeff BRODERICK, Jon Fisher
Принадлежит: KBA2 Inc

The invention relates to a system and method of gathering and analyzing data from device operators aiming their image capture devices and thereby creating a line of sight to an object of interest, for example through the process of obtaining photographs, videos or other digital images of an event or geographical location, where the real-time or embedded location, compass heading, and time data from each of a plurality of image providers are communicated from the plurality of image-capture devices to one or more servers for statistical analysis of the proportionate amount of providers focusing on each image target or sub-target at the event or location.

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Номер записи: 93
20-09-2012 дата публикации

Fake-finger determination device

Номер: US20120237091A1
Автор: Yoichi Nakamura
Принадлежит: NEC Corp

Fingerprint images that are required for fake-finger determination can be acquired with a single input operation, and the user-friendliness and the determination accuracy of a fake-finger are improved. This device has moving means for moving a sensor surface, on which a finger as a determination object is placed, relatively to the finger, sensing means for acquiring fingerprint images of the finger before and after the sensor surface is moved, derivation means for obtaining a deformation level of the fingerprint before and after the sensor surface is moved based on two types of fingerprint images obtained by the sensing means, storage means for storing a deformation threshold related to the deformation level of the fingerprint to determine whether the finger on the sensor surface is a real finger or a fake-finger, and determination means for determining whether the finger placed on the sensor surface is a real finger or a fake-finger based on comparison results of the deformation level of the fingerprint obtained by the derivation means and the deformation threshold.

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Номер записи: 94
20-09-2012 дата публикации

Network construction apparatus, method and program

Номер: US20120237094A1
Автор: Yoshiro Kitamura, Yuichi Kurihara
Принадлежит: Fujifilm Corp

A likelihood of a cross segment is calculated based on a cross segment characteristic condition defining a characteristic that a portion corresponding to an intermingled portion of a structure is present as a cross segment, and that at least two pairs of segments connectable in a straight line are present in the neighborhood of the cross segment. A likelihood of a straight line representing a probability that each segment is connected, in a straight line, to another segment is calculated based on a straight line connection condition defining a characteristic that each segment is connected, in a straight line, to another segment in the neighborhood thereof. A strength of connection between the segments is set based on the likelihood of a cross segment and the likelihood of a straight line, and plural network structures are constructed by connecting the segments based on the strength of connection.

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Номер записи: 95
27-09-2012 дата публикации

Device and method for compensating for relief in hyperspectral images

Номер: US20120242858A1
Автор: Didier Zugaj, Josiane Zerubia, Laurent Petit, Sylvain Prigent, Xavier Descombes
Принадлежит: Galderma Research and Development SNC, Institut National de Recherche en Informatique et en Automatique INRIA

The invention relates to a device for adjusting the raised pattern of at least one hyper-spectral image including at least one sensor capable of producing at least one hyper-spectral image in at least two wavelengths, a computing means capable of classifying the pixels of the hyper-spectral image derived from the sensor on the basis of a two-state classification relationship, and a display means capable of displaying at least one image on the basis of the classified pixels from the computing means. The computing means includes a means for adjusting the raised pattern on the basis of at least one reference image.

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Номер записи: 96
27-09-2012 дата публикации

Method for automatically seeding previously-classified images among images of objects of interest from a specimen

Номер: US20120243755A1
Автор: Howard B. Kaufman
Принадлежит: Hologic Inc

A computer-assisted method of classifying cytological samples, includes using a processor to analyze images of cytological samples and identify cytological objects of interest within the sample images, wherein the processor (i) displays images of identified cytological objects of interest from the sample images to a reviewer, (ii) accesses a database of images of previously classified cytological objects, and (iii) displays to the reviewer, interspersed with the displayed images of the identified objects of interest from the sample images, one or more images obtained from the database of images of previously-classified objects.

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Номер записи: 97
04-10-2012 дата публикации

Method for Designating a Target for a Weapon Having Terminal Guidance Via Imaging

Номер: US20120250935A1
Автор: Etienne Payot
Принадлежит: Thales SA

A method for designating a target in an area, intended for a weapon having terminal guidance via imaging, by means of an airborne optronic system comprising an imager associated with geolocation means and a processing unit. It comprises the steps of: acquisition of an image of the area by the imager of the system, and geolocation of this image by the geolocation means; extraction from a database of an orthoimage of the geolocated area, called the reference virtual image; designation of the position of the target in the reference virtual orthoimage; extraction from the reference virtual orthoimage of primitives around the position of the target, called virtual primitives; determination of the position of the target with respect to these virtual primitives; transferring the virtual primitives and the position of the target to the weapon having terminal guidance via imaging.

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Номер записи: 98
04-10-2012 дата публикации

System and method for effectively performing an image identification procedure

Номер: US20120250987A1
Автор: Liangyin Yu, Ming-Chang Liu
Принадлежит: Sony Corp

A system and method for effectively performing an image identification procedure includes an image matching manager that derives source characteristics for a source image and target characteristics for target images. The image matching manager compares the source characteristics and the target characteristics to determine whether the source image matches any of the target images. The source characteristics and the target characteristics may include color-space characteristics and curve-space characteristics from the respective images. A processor of an electronic device typically controls the image matching manager to effectively perform the image identification procedure.

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Номер записи: 99
04-10-2012 дата публикации

Image processing system and method

Номер: US20120251003A1
Автор: Atsuto Maki, Bjorn Stenger, Frank Perbet, Minh-Tri Pham, Oliver Woodford
Принадлежит: Toshiba Corp

A method dividing an image into plural superpixels of plural pixels of the image. The method calculates an initial set of weights from a measure of similarity between pairs of pixels, from which a resultant set of weights is calculated for pairs of pixels that are less that a threshold distance apart on the image. The calculation calculates a weight for a pair of pixels as the sum over a set of third pixels of the product of initial weight of the first pixel of the pair of pixel with the third pixel and the weight of the third pixel with the second pixel. Each weight is then subjected to a power coefficient operation. The resultant set of weights and the initial set of weights are then compared to check for convergence. If the weights converge, the converged set of weights is used to divide the image into superpixels.

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Номер записи: 100