Canon Kabushiki Kaisha

Yasuo Katano

Masakazu Matsugu

Masahiro Suzuki

Takayuki Iwamoto

Masakazu Fujiki

Tsuyoshi Kuroki

Mahoro Anabuki

Takayuki Hashimoto

Kaname Tomite

Kenji Tsukamoto

Dai Matsumura

Atsushi Nogami

Kazuki Takemoto

Yasuhiro Okuno

Koichi Magai

Masato Aoba

Kan Torii

Taichi Matsui

Takayuki Saruta

Shuichi Yabu

Masao Yamanaka

Hiroyuki Ohsawa

Sonoko Maeda

Hiromi Shiozaki

In order to reduce limitations on an arrangement of a posture visualization system as a whole, a posture recognition unit recognizes, based on image data of a real space captured by an image capture unit from a predetermined viewpoint, a posture of an object in the image data of the real space. A posture visualization viewpoint setting unit sets a viewpoint different from the predetermined viewpoint. A posture visualization unit visualizes a mirror image of the posture of the object viewed from the viewpoint set by the posture visualization viewpoint setting unit based on the posture recognized by the posture recognition unit. A space display unit displays the mirror image of the posture of the object generated by the posture visualization unit and a mirror image of the real space at once.

Information processing apparatus, information processing method, and storage medium

An image processing apparatus includes an acquisition unit, a first detection unit, a selection unit, and a correction unit. The acquisition unit acquires an image including a target object having a plurality of parts. The first detection unit detects a candidate region of each of the plurality of parts of the target object included in the acquired image using a previously learned model. The selection unit selects, based on the candidate region detected by the first detection unit, a first part having relatively high reliability and a second part having relatively low reliability from among the plurality of parts. The correction unit corrects the model by changing a position of the second part based on the first part selected by the selection unit.

Image processing apparatus, image processing method, and storage medium to detect parts of an object

An event detection apparatus includes an input unit configured to input a plurality of time-sequential images, a first extraction unit configured to extract sets of first image samples according to respective different sample scales from a first time range of the plurality of time-sequential images based on a first scale parameter, a second extraction unit configured to extract sets of second image samples according to respective different sample scales from a second time range of the plurality of time-sequential images based on a second scale parameter, a dissimilarity calculation unit configured to calculate a dissimilarity between the first and second image samples based on the sets of the first and second image samples, and a detection unit configured to detect an event from the plurality of time-sequential images based on the dissimilarity.

Event detection apparatus and event detection method

An image of each frame output from an image sensing device is sequentially acquired. A situation appearing in the image is recognized through recognition processing performed on the image, and, if the recognized situation is a prescribed situation, an object of a type related to the prescribed situation is detected from the image and from an image of each frame containing the image. A detection position, in the image, of each object is used to determine whether the objects come in contact with each other in a physical space.

Image processing apparatus and image processing method

In a mirror system for displaying an image on a mirror surface, a mirror reflects incident light from an object facing its front surface side to present a reflected image, and transmits incident light from its rear surface. A display unit generates a presentation image to be superimposed on the reflected image. An optical unit is arranged between the display unit and the rear surface of the mirror, and images the presentation image. An acquisition unit acquires distance information between the object and the mirror. A controller controls the imaging point of the presentation image by the optical unit according to the distance information.

Mirror system and control method therefor

An object detection apparatus comprises a detection unit configured to calculate a detection likelihood from each of the plurality of frame images obtained by an image obtaining unit, and to detect a target object from each of the frame images based on the detection likelihood; and a tracking unit configured to calculate a tracking likelihood of the target object from each of the plurality of frame images, and to track the target object over the plurality of frame images based on the tracking likelihood, wherein the detection unit detects the target object from the frame images obtained by the image obtaining unit based on the tracking likelihood of the target object that is calculated by the tracking unit from the frame images, and the detection likelihood of the target object that is calculated by the detection unit from the frame images.

Object detection apparatus, method for controlling the object detection apparatus, and storage medium

A learning apparatus comprises a plurality of detection units configured to detect a part or whole of a target object in an image and output a plurality of detection results; an estimation unit configured to estimate a state of the target object based on at least one of the plurality of detection results; a classification unit configured to classify the image into a plurality of groups based on the state of the target object; and a weight calculation unit configured to calculate weight information on each of the plurality of detection units for each of the groups based on the detection results.

Learning apparatus, method for controlling learning apparatus, detection apparatus, method for controlling detection apparatus and storage medium

When an image in a virtual space in which a virtual object is arranged is generated using a ray tracing method, and when it is determined that a ray which is generated in accordance with the ray tracing method successively intersected an approximate virtual object such as a hand which is a real object at lest twice, an image corresponding to a first intersection is generated in accordance with the ray emitted to the first intersection.

Image processing apparatus for combining real object and virtual object and processing method therefor

An information processing apparatus configured to generate an MR image displayed on a display apparatus includes a segmentation unit configured to segment the generated MR image into a plurality of regions, a generation unit configured to generate a pattern image to be superimposed on one of the plurality of segmented regions or each of the plurality of segmented regions, a superimposition unit configured to superimpose the generated pattern image on one of the plurality of segmented regions or each of the plurality of segmented regions, and an output unit configured to output the MR image, including the pattern image superimposed thereon, to the display apparatus.

Information processing apparatus and information processing method for processing image information at an arbitrary viewpoint in a physical space or virtual space

An image processing apparatus for extracting a contour of an object which extracts boundary candidate points from the image and sets reference areas each having one of boundary candidate points as a center and includes small areas. A first reference area is set from the reference areas and a first small area is set from small areas included in the first reference area. From reference areas, a second reference area is set, whose feature is similar to that of the first reference area and as a second small area, a small area is set which has a feature amount similar to that of the first small area among small areas included in the second reference area. The boundary candidate points is tracked to extract the contour of the object based on the first reference area, the second reference area, the first small area, and the second small area.

Image processing apparatus, image processing method, and program

An image processing apparatus includes an input unit configured to input a plurality of time-sequential still images, a setting unit configured to set, in a still image among the plurality of still images, a candidate region that is a candidate of a region in which an object exists, and to acquire a likelihood of the candidate region, a motion acquisition unit configured to acquire motion information indicating a motion of the object based on the still image and another still image that is time-sequential to the still image, a calculation unit configured to calculate a weight corresponding to an appropriateness of the motion indicated by the motion information as a motion of the object, a correction unit configured to correct the likelihood based on the weight, and a detection unit configured to detect the object from the still image based on the corrected likelihood.

Apparatus which detects moving object from image and method thereof

Upon generation of an image of a virtual space on which a virtual object is laid out using a ray tracing method, an approximate virtual object, which is configured by at least one virtual element to approximate the shape of a physical object, is laid out on the virtual space. Then, intersect determination between a ray generated based on the ray tracing method and an object on the virtual space is executed. As a result of the intersect determination, when the ray and the approximate virtual object have a predetermined intersect state, a pixel corresponding to the ray is generated based on a ray before the predetermined intersect state is reached.

A polygon selection unit selects, on the basis of a given condition, a base unit to be used in a collision determination process from base units included in a three-dimensional virtual object. A collision determination unit executes the collision determination process between three-dimensional virtual objects by using the base unit selected by the polygon selection unit for each virtual object.

Image processing method and image processing apparatus

Subject-distance information is acquired by a light-weight, small-size arrangement without a significant change in the structure of a conventional image processing apparatus. The apparatus acquires diffraction images obtained by sensing the image of a subject, using an image sensing unit, obtained via a diffraction grating and imaging optical system, detects a real image from luminance gradients of the diffraction images, calculates the distance between the detected real image and a virtual image corresponding to this real image in the diffraction images, and calculates the depth distance between the subject and the diffraction grating using the distance calculated by first calculating unit.

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Kawasaki, Japan

Yasuo Katano