Kabushiki Kaisha Toshiba

Mitsubishi Denki Kabushiki Kaisha

Toshiba Medical Systems Corporation

Masahiro Sekine

Yasunobu Yamauchi

Masashi Nishiyama

Kaoru Sugita

Isao Mihara

Yasukazu Higuchi

Hidetaka Ohira

Shingo Yanagawa

Goh Itoh

Tomoki Watanabe

Tsuyoshi Tasaki

Norihiro Nakamura

Yusuke Tazoe

Takashi Sasaki

Takeshi Nagai

Haruhiko Okumura

Nobuyuki Matsumoto

Tomoyuki Takeguchi

Shuhei Nitta

Manabu Nishiyama

Masayuki Okamoto

Takahisa Yoneyama

Nakaba Kogure

Sumihiko Yamamoto

Masaru Suzuki

Takashi Nakamura

Tomoyuki Shibata

Yuzo Hirayama

Ayako Takagi

Hideyuki Ueno

Junji Kobayashi

Akira Kinno

Hiroshi Kurokawa

Shuji Abe

Aira Hotta

Yoshiyuki Kokojima

Daisuke Ajitomi

Shigeo Morimoto

Ryuzo Okada

Nobuyoshi Hattori

Tomohiro Yamasaki

Naohiko Fujino

Akihisa Moriya

Masashi Ohmori

Rie Katsuki

Makoto Hirohata

Mikihiro Kimura

Kenji Kusakabe

Masaki Yamazaki

Junya Takakura

Wataru Nakano

Osamu Wada

Shihomi Takahashi

Isamu Karino

Yoshiko Kokawa

Kazuo Kuramoto

Yugo Kuwabara

Noriko Odate

Yoshihisa Kizuka

Toshihiro Fujibayashi

Mieko Miyazawa

Hitoshi Saijo

Sayoko Tanaka

Yan Song

Toshio Asano

Fusami Soeda

Yoshitsugu Nakagawa

Koichiro Hori

Hideyuki Uneo

Koji Shingu

Tooru Umino

According to one embodiment, a monitor apparatus includes a memory and processing circuitry. The processing circuitry acquires first information indicating a position and a moving direction of a target, acquires second information indicating a position of each of moving objects and sensors which are provided in the moving objects, selects at least one of a first moving object for monitoring the target from among the moving objects or a first sensor for monitoring the target from among the sensors, based on the first information and the second information, and transmits third information indicating the target and at least one of the first moving object or the first sensor.

Monitor apparatus and monitor system

According to one embodiment, an image processing device includes a subject image acquisition module, a first clothing image acquisition module and a second clothing image generator. The subject image acquisition module is configured to acquire subject images which are images of a subject successively picked up by an image pickup module. The first clothing image acquisition module is configured to acquire a first clothing image which is an image of clothes worn by the subject included in the subject images. The second clothing image generator is configured to adjust transparency of a pixel at a predetermined place of pixels constituting the first clothing image, and generate a second clothing image different from the first clothing image.

Image processing device for composite images, image processing system and storage medium

According to one embodiment, an image processing device includes at least one processor. The at least one processor is configured to acquire a first three-dimensional model regarding a subject, set a plurality of first control points on the first three-dimensional model, acquire mesh data of a meshed image of a region of clothing extracted from a captured image, acquire a second three-dimensional model, modify the mesh data based on an amount of movement from each of the plurality of first control points, to each respective one of a plurality of second control points, and generate an image of the clothing using the captured image and the modified mesh data.

Image processing device and image processing method

According to one embodiment, an image processing apparatus includes a first acquisition module, a receiver, a second acquisition module, a calculator, a generator and an output module. The first acquisition module acquires first model data indicating a shape corresponding to a subject. The receiver receives pose data indicating a pose. The second acquisition module acquires second model data indicating a shape corresponding to a body shape of the subject and the pose indicated by the pose data. The calculator calculates an evaluation value based on the first and second model data. The generator generates notification information based on the evaluation value. The output module outputs the notification information.

Image processing apparatus, method and storage medium

According to one embodiment, an apparatus for generating an occupancy grid map constituted with a two-dimensional grid around a first moving body includes processing circuitry configured to acquire data of a distance from the first moving body to an obstacle lying in surroundings of the first moving body; acquire first information indicating the movement status of the first moving body at current time and determine an operation mode of the first moving body; set a range of interest in a grid of a resolution higher than a resolution of the grid of the occupancy grid map, from the operation mode; and align the occupancy grid map to the range of interest and generate the occupancy grid map in such a manner that the obstacle exists in the grid of the occupancy grid map and the grid of the range of interest with respect to a position corresponding to the distance data.

Apparatus, method and program for generating occupancy grid map

According to an embodiment, a server includes a first acquiring unit, a second acquiring unit, an analyzing unit, and an output unit. The first acquiring unit is configured to acquire recognition information includes a product identification information for identifying the product. The second acquiring unit is configured to acquire combination information including the product identification information of the product to be combined with an object image including an object. The analyzing unit is configured to calculate product priorities for respective products by analyzing the recognition information and the combination information. The output unit is configured to output information based on the product priorities.

Server, analysis method and computer program product for analyzing recognition information and combination information

According to an embodiment, an object detection system includes an obtaining unit, an estimating unit, a setting unit, a calculating unit, and a detecting unit. The obtaining unit is configured to obtain an image in which an object is captured. The estimating unit is configured to estimate a condition of the object. The setting unit is configured to set, in the image, a plurality of areas that have at least one of a relative positional relationship altered according to the condition and a shape altered according to the condition. The calculating unit is configured to calculate a feature value of an image covering the areas. The detecting unit is configured to compare the calculated feature value with a feature value of a predetermined registered object, and detect the registered object corresponding to the object.

Object detection system and computer program product

According to one embodiment, an information processor includes a memory and processing circuitry. The circuitry receives area information indicating a second area in a first area around a movable body apparatus and third areas in the first area, wherein the movable body apparatus is movable in the second area and an object is present in each of the third areas. The circuitry receives movement information including at least one of a velocity, a movement direction or an acceleration of the apparatus. The circuitry acquires evaluation values each indicative of a damage to be caused when the apparatus collides with each object in the third areas, and determines, based on the evaluation values, a position corresponding to a first object which causes a least damage.

Information processor and movable body apparatus

According to an embodiment, a first acquirer of an image processing apparatus acquires a subject image of a first subject. A second acquirer acquires a first parameter representing a body type of the first subject. A receiver receives identification information on clothing to be tried on. An identifier identifies a clothing image associated with a second parameter of which dissimilarity with the first parameter is not larger than a threshold, from among clothing images associated with the received identification information in first information in which clothing sizes, second parameters, and clothing images are associated with each piece of identification information. The second parameters corresponds to each clothing size and represents different body types. The clothing images each represents a second subject who has a body type represented by the corresponding second parameter associated with the corresponding clothing size and who is wearing the piece of clothing in each clothing size.

Image processing apparatus, image processing system, image processing method, and computer program product

A medical image diagnosis apparatus according to an embodiment includes a controller. The controller generates a plurality of candidates for a first cross-sectional image from three-dimensional image data obtained by taking images of a heart. The controller generates, from the three-dimensional image data, one or more second cross-sectional images each of which intersects the candidates for the first cross-sectional image. The controller displays in parallel on a display, the candidates for the first cross-sectional image, as well as the second cross-sectional images on each of which information is superimposed. The information indicates positional relationships between the candidates for the first cross-sectional image and the second cross-sectional image.

Medical image diagnosis apparatus and image display apparatus

An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to generate, from three-dimensional medical image data, a first cross-sectional image and a second cross-sectional image intersecting the first cross-sectional image and is configured to change display locations of the first cross-sectional image and the second cross-sectional image on a display, in conjunction with a change in an intersecting location of the first and the second cross-sectional images.

Image processing apparatus, magnetic resonance imaging apparatus, and image processing method

According to an embodiment, an image processing device includes a first calculator to calculate, when a photographic subject image is determined to satisfy a first condition, a first position of the clothing image such that the position of a feature area matches with the position of the feature area; a second calculator to calculate a second position of the clothing image in the photographic subject image such that the position of a feature point in the clothing image matches with the position of the feature point in the photographic subject image; a deciding unit to decide, when the photographic subject image is determined to satisfy the first condition, on the first position as a superimposition position, and decide, when the photographic subject image is determined not to satisfy the first condition, on the superimposition position based on the difference between the first position and the second position.

Image processing device, image processing method, computer readable medium

According to an embodiment, an image processing apparatus includes an obtainer, a setter, a first calculator, a second calculator, and a third calculator. The obtainer obtains an image. The setter sets a plurality of first regions and a plurality of second regions on the image. Each of the first regions and the second regions includes two or more pixels, and at least one of the second regions is different in position or size from the first regions. The first calculator calculates first feature data representing an image feature of the first regions. The second calculator calculates second feature data which is a luminance gradient between the second regions. The third calculator calculates relative feature data representing a relative relationship between the first feature data and the second feature data.

Image processing apparatus and method, and computer program product

In an embodiment, an image processing device includes: a first calculating unit; a selecting unit; an extracting unit; a second calculating unit; a determining unit; and a generating unit. The first calculating unit calculates posture information of a subject from a first image including the subject. The selecting unit selects a second image associated with the posture information from a plurality of second images including clothing. The extracting unit extracts a first feature of the subject from a first contour in the first image and extracts a second feature from a second contour in the second image. The second calculating unit calculates a first difference between the first feature and the second feature. The determining unit determines a transparency that is higher as the first difference is larger. The generating unit generates a composite image combining the first image and the second image with the determined transparency.

Image processing device, method, and computer program product

According to an embodiment, an image processing apparatus includes an acquisition unit, a setting unit, and a calculator. The acquisition unit is configured to acquire an image. The setting unit is configured to set a plurality of sampling points in a sampling area of the image, each sampling point being associated with a calculation area. The calculator is configured to calculate feature values of the image in the calculation area. The setting unit is configured to set the sampling points to provide at least one of an arrangement in which distances between the adjacent sampling points change with distances from a center of the sampling area, and an arrangement in which the sampling points exist on circumferences of a plurality of circles different in diameter.

Image processing apparatus, image processing method, and computer program product

Growing community of inventors

Tokyo, Japan

Masahiro Sekine