Mitsubishi Electric Corporation

Mitsubishi Denki Kabushiki Kaisha

Fujitsu Corporation

Other

Renesas Technology Corp.

Hiroshi Kage

Takashi Matsumoto

Shintaro Watanabe

Akihiro Takeda

Hiroshi Hirosaki

Yoshikuni Kataoka

Kenichi Tanaka

Eiichi Funatsu

Kazuhiko Sumi

Misao Kikuchi

Mitsuhiko Yamamoto

Shigeki Taniguchi

Hajime Suzuki

Shinji Komori

Hirotoshi Yano

Kazuo Kyuma

Kenji Inomata

Kunihiko Hara

Hidenobu Sakamoto

Haruhisa Okuda

Makoto Hirano

Koichi Ikuta

Naoki Aizawa

Jun Mitsuishi

Yasuo Kitaaki

Kosuke Hirasawa

Ryoichi Yamakoshi

Shoji Mochizuki

Shinjiro Kawato

Tetsuji Aoyagi

Akira Hidaka

Masayoshi Sato

Disclosed is an air conditioner with spatial recognition and detection functions for deciding room shape by determining, based on temperature difference information between the floor and walls occurring during air conditioning operation, a human body detection position log, and a capacity zone of the air conditioner. In an embodiment, an infrared sensor detects a temperature of an area of the room by scanning the area and a control unit acquires thermal image data of the area scanned by the infrared sensor and then calculates a temperature of a wall of the room from the acquired thermal image data. The control unit detects a human body in the room from the thermal image data, calculates a distance between the body and the wall, and calculates a radiation temperature from the wall for the body based on the calculated temperature of the wall and the distance between the body and the wall.

Air conditioner

A normalization processing circuit normalizes a position of a complex demodulation signal on a complex plane from an A/D converter, and outputs a normalized complex demodulation signal after the normalization to a multiple-dimensional feature extractor. The multiple-dimensional feature extractor calculates a feature quantity that changes when a person intrudes, a feature quantity that changes in wind and rain, and a feature quantity that changes when a spatially isolated intense electric field exists. A discriminator discriminates that a person has intruded based on the feature quantities of three dimensions.

Intruding object discrimination apparatus for discriminating intruding object based on multiple-dimensional feature

An image matching device in which, in automatic positioning calculation using an ICP method, a solution is converged to an optimal solution while avoiding reaching a local solution, and a patient positioning device using this matching device. The device includes a CT image data reading unit reading first and second CT image data, a point group data generation unit generating first and second point group data in a three-dimensional space by binarization processing and edge-extraction processing on sliced images of the first and second CT image data, respectively, a point group data resolution conversion unit thinning-out point group data so as to extend a point-group-data array pitch, and an ICP calculation unit obtaining, using an ICP method, a conversion amount for the second point group data so that an error function of the first point group data and the second point group data outputted from the point group data resolution conversion unit is minimized.

Image matching device and patient positioning device using the same

Disclosed is an air conditioner with functions for deciding room shape by determining, based on a temperature difference, information between the room's floor and walls occurring during operation, a human body detection position log, and a capacity zone of the air conditioner. In an embodiment, an infrared sensor detects a temperature of an area of the room by scanning the area and a control unit acquires thermal image data of the area scanned by the sensor and then controls the air conditioner based on the thermal image data. The control unit sets a boundary line between a wall and floor of the room at a position on the thermal image data, calculates a temperature difference between vertically adjacent pixels located above and below the boundary, corrects a position of the boundary based on temperature difference, and determines that areas parted by the boundary correspond to the wall and floor, respectively.

An air conditioner provided with a spatial recognition and detection function for deciding the room shape by integrally determining based on a temperature difference information between the floor and the walls occurring during the air conditioning operation, a human body detection position log, and a capacity zone of the air conditioner. The air conditioner provides an infrared sensor and a control unit that controls the air conditioner by detecting a presence of heat generating device and human with the infrared sensor, wherein the control unit acquires a thermal image data of the room by scanning with the infrared sensor, and integrates to calculate a floor dimension inside the air conditioning area, and calculates the wall position within the air conditioning area on the thermal image data.

There is provided an image processor and a method thereof for high-speed compensation for taken-image blurs produced by camera shakes or the like. In the first instance, a motion-detecting area is selected for each of two images taken by an image sensor. When projective data is calculated by means of computing in a predetermined direction pixels of the motion-detecting areas, the motion vector between the two images can be acquired based on the projective data. The image correlativity between the two images is then calculated in the direction that the motion vector designates; and the amount of pixel displacement between the two images is calculated based on the correlativity values acquired by the calculation. Moreover, the area that has been produced by displacing an image output area in a camera-shake compensation area designated in the second frame, by the pixel-displacement amount calculated by a displacement calculator is cut away from the camera-shake compensation area, and is outputted as an image for the image output area of the second frame.

Image processor

A transmission-side cellular phone sends, via a mail server, to a reception-side cellular phone a face image and its attribute information as an attachment to an email. The reception-side cellular phone extracts the face image from the email, selects face part images from among a plurality of face part images stored in the face part storing section, combines the face image and the selected face parts, and displays the combined image. The reception-side cellular phone selects the face part images based on, for example, a number of times a telephone call from a person was not attended in a predetermined period.

Information device and computer product

An image of a face of a person is acquired. Image data corresponding to the head is extracted from the image of the face. The image data is enlarged, reduced, or rotated to obtain an image of the head that is vibrating. The vibrating image of the head is displayed on a display.

Apparatus for and method of synthesizing face image

A person's portrait generation device includes an image input section which picks up a two-dimensional image containing a person's face, using an image sensor. A head area extracting section extracts the head of the person from the image. A feature detection section detects the position of characteristic feature(s) of the face of that person. A face outline determining section determines a border between a face outline and a background. An image processing section generates a person's portrait in which the characteristic feature(s) of the face is emphasized.

Method and device for generating a person's portrait, method and device for communications, and computer product

An apparatus for inputting information includes an image input section which acquires the image information through an image sensor, a motion calculation section which calculates a distance of movement based on the image information, an information selection section which selects symbol information from a symbol table in operatively interlocked relation with the calculated distance of movement, and an information display section which displays the symbol table and the selected symbol information.

Apparatus for inputting information and computer product

When an operator operates a pointing device, a direction computing section computes a movement vector from an image photographed by an image sensor, and when the movement vector is larger than a threshold, a direction correcting section determines the movement vector as invalid based on the recognition that the movement vector was caused by an abrupt change in the illumination or other conditions, and outputs only movement vectors that are smaller than the threshold to a coordinate position updating section.

Coordinated position control system, coordinate position control method, and computer-readable storage medium containing a computer program for coordinate position controlling recorded thereon

A direction instructing apparatus includes an image inputting section for inputting data for a two-dimensional image picked up with an image sensor having an image processing function, a projection computing section for computing projections for the two-dimensional image as a whole in directions according to the data inputted into the image inputting section, a movement computing section for computing a one-dimensional movement vector for each projection according to the projection computed in the projection computing section, and a direction estimating section for estimating a two-dimensional movement vector for the two-dimensional image according to the one-dimensional movement vector computed in the movement computing section.

Direction instructing apparatus direction estimating apparatus and a computer-readable storage medium containing a program for the same stored thereon

Motion of a human under various conditions is reproduced by a computer graphics and the like in a real time manner without using auxiliary means such as a light reflection marker. An action recognizing apparatus is arranged by an image input unit for imaging an image containing motion of an imaging object at a plurality of imaging angles by a plurality of image sensors to thereby acquire a plurality of two-dimensional images; a two-dimensional motion detecting unit for calculating a direction of motion and strength thereof of each of pixels within each of the two-dimensional images imaged, a region specifying unit for specifying such a region having strength of the calculated motion larger than, or equal to a predetermined strength value; a three-dimensional motion detecting unit for positioning the specific region specified with respect to the plurality of two-dimensional images, whereby a three-dimensional position of the specific region and three-dimensional motion of the specific region are calculated; a portion predicting unit for predicting that the calculated three-dimensional motion corresponds to any of the portions of the imaging object; and an action reproducing unit for moving a model in a simulation manner based the motion predicted by the portion predicting unit with respect to each of the portions, whereby motion of the imaging object is reproduced on the model.

Action recognizing apparatus and recording medium in that action recognizing program is recorded

An image processing device includes a difference image generating unit for selecting two images at different times from among a plurality of images stored in an image storage unit. The image generating unit computes a difference between the selected two images and generates and stores a difference image. A direction estimating unit estimates a direction or bearing of motion of the moving object along each of several axes for each of the pixels based on the difference image held by the difference image generating unit. The direction estimating unit generates one or more vectors representing the directions of motion of the moving object along the axes for each of the pixels. An initially-estimated motion vector unit computes the sum of the vectors estimated by the direction estimating unit and generates an initially-estimated motion vector for each of the pixels. A vector averaging unit averages initially-estimated motion vectors in the vicinity of each of the plurality of pixels, including the initially-estimated motion vector of each of the pixels, and generates a motion vector for each of the pixels.

Growing community of inventors

Tokyo, Japan

Hiroshi Kage