Abstract: An image processing apparatus includes a change detection unit configured to detect a phase change having a predetermined amount of change from phase changes in a subregion of an edge image having a predetermined resolution, a change amount adjustment unit configured to adjust the amount of change of the detected phase change, an adjusted image generation unit configured to generate an edge image having the predetermined resolution in which the amount of change of a motion change is adjusted based on the phase change in which the amount of change of the phase change is adjusted, and a region decision unit configured to decide a new subregion of an edge image having a new predetermined resolution based on the edge image having the predetermined resolution in which the amount of change of the motion change is not adjusted and the edge image having the predetermined resolution in which the amount of change of the motion change is adjusted.

Abstract: A display device and a display method which can reproduce kinematic parallax and express a high sense of realism without using image display means are provided. The display device includes an image display unit having a stripe structure having subpixels of a plurality of colors disposed so that subpixels of the same color are arranged in a first direction and enabling an observer to observe, through an aperture, an image formed by pixels, each pixel being constituted by the subpixels of a plurality of colors. The aperture has a shape in which areas of the subpixels of the plurality of colors which can be seen through the aperture are uniform, and in which a numerical aperture decreases along a second direction orthogonal to the first direction. A plurality of the apertures are provided so as not to overlap with each other.

Abstract: A display device which can reproduce kinematic parallax and express a high sense of realism without using image display means are provided. The display device includes an image display unit having a stripe structure having subpixels of a plurality of colors disposed so that subpixels of the same color are arranged in a first direction and enabling an observer to observe, through an aperture, an image formed by pixels, each pixel being constituted by the subpixels of a plurality of colors. The aperture has a shape that has been smoothed to reduce a number of corners in which areas of the subpixels of the plurality of colors which can be seen through the aperture are uniform, and in which a numerical aperture decreases along a second direction orthogonal to the first direction. A plurality of the apertures are provided so as not to overlap with each other.

Abstract: A subject tracking device includes a first histogram generation unit configured to generate a first histogram representing an appearance frequency of an image feature quantity of a subject region, for each segment and for each auxiliary segment of the image feature quantity, a second histogram generation unit configured to generate, for each candidate region, a second histogram representing an appearance frequency of the image feature quantity of an image of a candidate region for each segment and for each auxiliary segment of the image feature quantity, a difference derivation unit configured to compare the first histogram with the second histogram for each segment and for each auxiliary segment, and derive, for each candidate region, a total difference value of the appearance frequencies of the image feature quantities of the first histogram and the second histogram; and a region selection unit configured to select the candidate region having a minimum total difference value from among the candidate regions

Abstract: Light having high directivity and high uniformity is emitted. A light source apparatus (10) according to the present invention includes: a light emitting body group (11a) in which a plurality of light sources (11) that emit directional light are arranged on one surface; and a first visual field limiting film (12) that is provided on an optical path of the light emitted from the plurality of light sources (11), and outputs light that enters the first visual field limiting film in a first predetermined angular range by homogeneously diffusing the light within the first predetermined angular range.

Abstract: A display device and a display method which can reproduce kinematic parallax and express a high sense of realism without using image display means are provided. The display device includes an image display unit having a stripe structure having subpixels of a plurality of colors disposed so that subpixels of the same color are arranged in a first direction and enabling an observer to observe, through an aperture, an image formed by pixels, each pixel being constituted by the subpixels of a plurality of colors. The aperture has a shape in which areas of the subpixels of the plurality of colors which can be seen through the aperture are uniform, and in which a numerical aperture decreases along a second direction orthogonal to the first direction. A plurality of the apertures are provided so as not to overlap with each other.

Abstract: Provided is technology for extracting a person region from an image, that can suppress preparation costs of learning data. Included are a composited learning data generating unit that generates, from already-existing learning data that is a set of an image including a person region and a mask indicating the person region, and a background image to serve as a background of a composited image, composited learning data that is a set of a composited image and a compositing mask indicating a person region in the composited image, and a learning unit that learns model parameters using the composited learning data.

Abstract: A motion classification model learning apparatus that learns a model for early recognizing a motion is provided. A training data acquisition part acquiring training data configured with pairs of video information about a motion that can be classified into any of a plurality of categories according to characteristics of the motion and category information that is a correct label corresponding to the video information; a motion history image generation part generation a motion history image of the video information; and a model learning part learning a model that outputs a label that is the category information, with the motion history image as an input are included.

Abstract: A learning device includes: a time-series information generation unit that obtains a first image group including a plurality of successive time-series images including a reference image and generates first time-series information based on a difference between the reference image and each of the images in the first image group other than the reference image; and a first learning unit that performs machine learning using the reference image and the first time-series information, thereby obtaining a first learning result used for estimating depth information on a target image, which is an image to be processed, and silhouette information on a subject captured in the target image based on the target image and second time-series information generated from a second image group including a plurality of successive time-series images including the target image.

Abstract: A virtual reality system is provided that includes a video presentation apparatus, the virtual reality system comprising: the video presentation apparatus which includes circuitry configured to: obtain as input a video sequence composed of a plurality of frames and mask information specifying a complementation target region in the video sequence; separate a frame into a foreground region and a background region based on binary images representing differences between the plurality of frames included in the video sequence; determine either one of patch-search-based completion and paste synthesis as a complementation method for the complementation target region based on a number of pixels belonging to the foreground region and located within a given distance from a periphery of the complementation target region; and complement the complementation target region in accordance with the complementation method; and a virtual reality head mounted display which presents the complemented video sequence to the user.

Abstract: Preliminary experience of a match at a player's perspective is enabled. A virtual environment material storage 13 has stored therein virtual environment materials for reproducing a dynamic object and a static object on a virtual environment. A dynamic object sensing unit 11 chronologically measures a position and a posture of the dynamic object in a real environment and generates position and posture information composed of one movement action. A presentation sequence acquisition unit 17 obtains a presentation sequence including position and posture information of a plurality of different kinds of dynamic objects. A virtual environment construction unit 14 synthesizes a virtual environment material of the dynamic object and a virtual environment material of the static object based on the presentation sequence to construct the virtual environment.

Abstract: Preliminary experience of a match at a player's perspective is enabled. A virtual environment material storage 13 has stored therein virtual environment materials for reproducing a dynamic object and a static object on a virtual environment. A dynamic object sensing unit 11 chronologically measures a position and a posture of the dynamic object in a real environment and generates position and posture information composed of one movement action. A presentation sequence acquisition unit 17 obtains a presentation sequence including position and posture information of a plurality of different kinds of dynamic objects. A virtual environment construction unit 14 synthesizes a virtual environment material of the dynamic object and a virtual environment material of the static object based on the presentation sequence to construct the virtual environment.

Abstract: An image encoding/decoding apparatus for performing encoding/decoding while predicting an image between different views using a reference image for a view different from a processing target image and a reference depth map which is a depth map for an object of the reference image when a multi-view image including images of a plurality of different views is encoded/decoded includes a reference depth region setting unit configured to set a reference depth region which is a corresponding region on the reference depth map for decoding target regions into which the processing target image is divided, and an inter-view prediction unit configured to generate an inter-view predicted image for the processing target region from the reference image using depth information in the reference depth region as depth information for the processing target region.

Abstract: An image encoding/decoding apparatus for performing encoding/decoding while predicting an image between different views using a reference image for a view different from a processing target image and a reference depth map which is a depth map for an object of the reference image when a multi-view image including images of a plurality of different views is encoded/decoded includes a reference depth region setting unit configured to set a reference depth region which is a corresponding region on the reference depth map for decoding target regions into which the processing target image is divided, and an inter-view prediction unit configured to generate an inter-view predicted image for the processing target region from the reference image using depth information in the reference depth region as depth information for the processing target region.

Abstract: An image encoding/decoding apparatus for performing encoding/decoding while predicting an image between different views using a reference image for a view different from a processing target image and a reference depth map which is a depth map for an object of the reference image when a multi-view image including images of a plurality of different views is encoded/decoded includes a reference depth region setting unit configured to set a reference depth region which is a corresponding region on the reference depth map for decoding target regions into which the processing target image is divided, and an inter-view prediction unit configured to generate an inter-view predicted image for the processing target region from the reference image using depth information in the reference depth region as depth information for the processing target region.

Abstract: In picture encoding that generates prediction pictures from picture information of frames previously encoded and encodes picture information for each area, the encoding efficiency is improved. A plurality of motion vector candidates are stored in advance in a motion vector storage memory (107). A motion vector selection section (109) selects a motion vector to be used from the plurality of motion vectors stored in advance in the motion vector storage memory (107). A prediction picture generation section (104) generates a prediction picture from a reference picture using the selected motion vector. A differential encoding section (103) encodes a differential between the picture information of the present area and the prediction picture. A motion vector designation encoding section (110) encodes information that designates the motion vector selected by the motion vector selection section (109).

Abstract: In picture encoding that generates prediction pictures from picture information of frames previously encoded and encodes picture information for each area, the encoding efficiency is improved. A plurality of motion vector candidates are stored in advance in a motion vector storage memory (107). A motion vector selection section (109) selects a motion vector to be used from the plurality of motion vectors stored in advance in the motion vector storage memory (107). A prediction picture generation section (104) generates a prediction picture from a reference picture using the selected motion vector. A differential encoding section (103) encodes a differential between the picture information of the present area and the prediction picture. A motion vector designation encoding section (110) encodes information that designates the motion vector selected by the motion vector selection section (109).

Abstract: An apparatus performs inter-frame prediction in directions pertaining to time and disparity and predictive-encodes an encoding target video by generating a predicted image whose error is corrected. An encoding target image is predicted by utilizing reference pictures which are previously-decoded pictures in the directions pertaining to time and disparity; and inter-frame reference information and inter-viewpoint reference information which indicate individual reference parts on the reference pictures are determined. A disparity predicted image and a motion predicted image are generated based on the determined information items. A corrective predicted image is generated based on the inter-viewpoint reference information and the inter-frame reference information. The predicted image is generated from the disparity predicted image, the motion predicted image, and the corrective predicted image.

Abstract: An image encoding device and an image decoding device encodes with a low overall output size while preventing encoding-efficiency degradation in occlusion regions. When encoding a multiview image comprising a plurality of images from different perspectives, this device, using a reference image from a different perspective from a target image being encoded and a reference depth map for a subject in said reference image, encodes while performing image prediction across different perspectives.

Abstract: The image encoding apparatus encodes while predicting an image between different views using a reference image encoded for a view different from a processing target image, and a reference depth map for an object of the reference image when a multiview image of plural different views is encoded. A view-synthesized image is generated for the entire encoding target image using the reference image and the reference depth map. A setting section sets whether to perform prediction for each of encoding target blocks into which the encoding target image is divided, or to perform prediction using the view-synthesized image for the entire encoding target image. Information is encoded to indicate the prediction unit. An encoding section performs predictive encoding on the encoding target image for every encoding target block, while selecting a predicted image generation method when the prediction for every encoding target block as the prediction unit has been selected.