Nippon Telegraph and Telephone Corporation

Hajime Noto

Masaaki Matsumura

Hideaki Kimata

Yoshinori Kusachi

Kazuki Okami

Akihiko Hashimoto

Yasuo Ishigure

Akihiko Takashima

An object-specific keypoint separation apparatus includes: an inference execution unit configured to receive a captured image capturing an object as an input and use a pre-trained model that has been trained in order to output a plurality of first maps and a plurality of second maps generated from the input captured image to output the plurality of first maps and the plurality of second maps, the plurality of first maps storing a vector describing a connection relationship of a keypoint of the object only around the keypoint, and the plurality of second maps representing a heat map configured to have a peak at coordinates at which the keypoint of the object appears; a map correction unit configured to correct the plurality of second maps using the plurality of first maps and the plurality of second maps; an upsampling unit configured to upsample the plurality of first maps; and an object-specific keypoint separation unit configured to separate keypoints for each object based on the plurality of upsampled first maps and the plurality of corrected second maps.

Apparatus for separating feature points for each object, method for separating feature points for each object and computer program

A unit derives displacement amounts of feature points in an entire region of a face shape. A unit derives separated displacement amounts, each of which is a displacement amount of each feature point for every deformation pattern of a partial region of the face shape, based on the displacement amounts of the feature points in the entire region of the face shape and deformation degrees for every deformation pattern of the partial regions. A unit derives normalized and separated displacement amounts, which are obtained by normalizing the separated displacement amounts, for every deformation pattern of the partial regions. A unit generates weight values of the feature points in the entire region of the face shape based on the normalized and separated displacement amounts for every deformation pattern of the partial regions of the face shape and the deformation degrees for every deformation pattern of the partial regions.

Weighted mask generating apparatus, weighted mask generating method and program

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. The auxiliary segment is defined to straddle boundaries between the segments.

Object tracking apparatus, object tracking method and program

The pseudo depth information of a subject is generated from multiple images of the subject captured with and without illumination or under various illumination intensities. A pseudo 3D image generating apparatus generates a pseudo 3D image. It includes an image storing unit that stores the images, and a depth computing unit that computes pseudo depth values of the subject based on operations between the pixel values of corresponding pixels in the images. A compact and handy 3D image generating apparatus is provided.

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Hachiooji, Japan

Hajime Noto