Kabushiki Kaisha Toshiba

Toshiba Digital Solutions Corporation

Mayumi Yuasa

Osamu Yamaguchi

Tatsuo Kozakaya

Kazuhiro Fukui

Masahide Nishiura

Tomokazu Wakasugi

Tomoyuki Shibata

Kaoru Suzuki

Ryuzo Okada

Tomokazu Kawahara

Mutsumi Watanabe

Hideki Yoshioka

Yasuhiro Taniguchi

Tomoki Watanabe

Tomoyuki Takeguchi

Masashi Nishiyama

Kazunori Onoguchi

Tsukasa Ike

Bjorn Stenger

Shinichiro Hamada

Kentaro Yokoi

Masayuki Maruyama

Quoc Viet Pham

Hisashi Kazama

Kunio Osada

Mayu Okumura

Soichiro Ono

Viet Quoc Pham

Nobuhisa Kishikawa

According to an embodiment, a data management system includes an index building unit and a searching unit. The index building unit generates a peripheral vector similar to a case example vector representing a feature vector of data to be stored, and builds index information of enabling identification of the case example vector corresponding to the generated peripheral vector. The searching unit refers to the index information in response to a search request in which a query vector representing an arbitrary feature vector is specified, identifies the case example vector corresponding to the peripheral vector that exactly matches with the query vector, and outputs a search result based on the identified case example vector.

Data management system, data management method, and computer program product

According to an embodiment, an image output device includes an extractor, a search unit, an associate unit, and a controller. The extractor is configured to extract a first parameter that varies in accordance with a movement of an object from at least one first image of the object, and extract a second parameter that varies in accordance with a movement of the object from each second image of the object. The search unit is configured to search for a second parameter similar to the first parameter. The associate unit is configured to associate the first image from which the first parameter is extracted with the second image from which the second parameter that is retrieved with respect to the first parameter is extracted. The controller is configured to instruct an output unit to output an image based on the first and second images that are associated to each other.

Image output device, image output method, and computer program product

A detector in embodiments includes a processor. The processor acquires an image including a face of a person. The processor acquirer depth information of the face in the image from a distance measuring module. The processor sets a deficient area indicating an area where the depth information fails to be acquired. The processor detects the face area from the image. The processor acquires a reference image generated based on a probability set to the deficient area in the image, and calculates a degree of similarity between the face area where the deficient area is set and the reference image. The processor determines whether the image is impersonation based on the degree of similarity.

Impersonation detector

An image processing method includes: retaining marker information including markers, each of the markers having a type which is shape, pattern or color; acquiring images in which at least one of the markers is caught; referring the marker information to detect the type and a position of the marker caught in the image; and dividing the image into a plurality of divided areas on the basis of the positions of one or more markers in the image, the plurality of divided areas having no common area and each including at least one type of the marker.

Image processing apparatus for dividing an image based on markers, method thereof and program therefor

There is provided a traffic control apparatus including: an image input unit configured to input an image including a face of a user; a face detecting unit configured to detect a face area of the user from the image; a generating unit configured to obtain a difference between a state of the detected face area and a state of a optimal face area, and generate presentation information for instructing the user to move his or her face to a position suitable for the face recognition when the difference is large; and a noticing unit having a plurality of keys arranged in a matrix pattern, and configured to illuminate, blink, or extinguish one or the plurality of keys for specifying the position that the face is to be moved to on the basis of the presentation information.

Traffic control apparatus, method thereof, and program therefor

An image processing apparatus includes a receiver, a registration section, a determination section, and a controller. The receiver receives broadcast waves including signals of a plurality of channels. The registration section registers a recognition target. The determination section determines whether or not the recognition target, registered in the registration section, exists in a frame of an image including the signals of the plurality of channels included in the broadcast waves received by the receiver. The controller sequentially switches, in accordance with a determination result obtained by the determination section, the plurality of channels received by the receiver.

Image processing apparatus, method and computer-readable storage medium

A face recognition apparatus includes an image sequence acquiring unit, a face image acquiring unit, an intra-sequence classifying unit, an inter-sequence classifying unit, an identification unit, and a reference image storing unit. A plurality of cameras are attached in a corridor for monitoring one place with these cameras, so that when a plurality of moving people pass through, identification is performed for each moving people. Face images are classified into fragmental face image sets, and the fragmental face image sets are classified into integrated sets to achieve the identification.

Face recognition apparatus and face recognition method

An image input unit configured to enter a face image, a search area and scale setting unit configured to set a search area and a scale, an image feature point detection unit configured to detect image feature points selected from local image information of respective points, a first dictionary storing coordinates of the relative position between the image feature points and a target feature point in association with peripheral patterns of the image feature points, a first pattern matching unit configured to match the first dictionary and the peripheral patterns of the image feature points, a target feature point candidate position estimating unit configured to estimate candidates of the position of the target feature point, a second dictionary, a second pattern matching unit configured to match the second dictionary and a peripheral pattern of the target feature point and a determination unit configured to obtain the position of the target feature point.

Face feature point detection apparatus and method of the same

A face feature point detecting device according to embodiments includes a unit inputting an image containing a face of a person, a unit detecting a feature point set candidate comprising plural kinds of feature points, and a unit calculating an error between each feature point of the projected feature point set candidate and each feature point of the feature point set including plural kinds of feature points of the three-dimensional model information; and a unit selecting a feature point set having consistency from the feature point set candidates on basis of the errors of the feature points or an integral value of the errors.

Face feature point detection device and method

An apparatus for detecting a feature point includes an image input unit that inputs an image of the target object; a three-dimensional shape information holding unit that stores three-dimensional shape information including reference feature points of a model relating to the target object; a correspondence relation acquiring unit that acquires a correspondence relation between the input image and the three-dimensional shape; a seek area acquiring unit that acquires image information of a seek area on the input image corresponding to an area including a point corresponding to the specific feature point in the model on the basis of the correspondence relation; and a feature point detecting unit that detects the position of the specific feature point in the input image from the image information.

Apparatus for detecting feature point and method of detecting feature point

An apparatus for a user to interface with a control object apparatus by a posture or a motion of the user's physical part. An image input unit inputs an image including the user's physical part. A gesture recognition unit recognizes the posture or the motion of the user's physical part from the image. A control unit controls the control object apparatus based on an indication corresponding to the posture or the motion. A gesture information display unit displays an exemplary image of the posture or the motion recognized for the user's reference to indicate the control object apparatus.

Interface apparatus and interface method

A face image processing apparatus, includes: a face region detecting unit configured to detect a face feature point of a person from a plurality of images picked up by a plurality of imaging units respectively, to detect a face region; a face feature extracting unit configured to extract a face feature from an image of the face region detected by the face region detecting unit; a person recognizing unit configured to calculate a similarity measure based on a face feature of a specific person being previously registered and the face feature extracted by the face feature extracting unit to recognize the person; and an output apparatus which outputs a recognition result in the person recognizing unit.

Face image processing apparatus and method

An image processing apparatus for detecting, at high precision, the contours of the eyes and the lips from an image including a shot of the face is provided. The apparatus includes an image input portion used to input an image, a feature point detecting portion that detects plural feature points of the object from the input image, a facial pose estimating portion that estimates a rotation angle indicating a facial pose from the detected, plural feature points, an initial parameter correcting portion that estimates initial parameters to detect the contours of the eye and the lips from the detected, plural feature points, and corrects the estimated initial parameters using the estimated rotation angle, an initial contour generating portion that generates an initial contour of the object using the corrected initial parameters, and a contour generating portion that generates a final contour from the initial contour.

Image processing apparatus and method thereof

An ultrasonic picture processing method comprising the steps of extracting contour information of a target from respective frame pictures of an ultrasonic moving image, dividing the extracted contour information into a plurality of regions at a preset interval, comparing the divided contour information parts with one another and making a predetermined determination of the ultrasonic moving pictures based on the comparison results.

Growing community of inventors

Kanagawa, Japan

Mayumi Yuasa