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公开(公告)号：US20210304415A1
公开(公告)日：2021-09-30
申请号：US17265166
申请日：2019-08-01
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Yukito WATANABE , Shuhei TARASHIMA , Takashi HOSONO , Jun SHIMAMURA , Tetsuya KINEBUCHI
Abstract: The present invention makes it possible to estimate, with high precision, a candidate region indicating each of multiple target objects included in an image. A parameter determination unit 11 determines parameters to be used when detecting a boundary line of an image 101 based on a ratio between a density of boundary lines included in an image 101 and a density of boundary lines in a region indicated by region information 102 indicating the region including at least one of the multiple target objects included in the image 101. A boundary line detection unit 12 detects the boundary line in the image 101 using the parameter. For each of the multiple target objects included in the image 101, the region estimation unit 13 estimates the candidate region of the target object based on the detected boundary line.
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公开(公告)号：US20210216829A1
公开(公告)日：2021-07-15
申请号：US15733883
申请日：2019-05-31
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Takashi HOSONO , Shuhei TARASHIMA , Jun SHIMAMURA , Tetsuya KINEBUCHI
Abstract: Objectness indicating a degree of accuracy of a single object is accurately estimated. An edge detection unit 30 detects an edge for a depth image, an edge density/uniformity calculation unit 40 calculates an edge density on the periphery of a candidate region, an edge density inside the candidate region, and edge uniformity on the periphery of the candidate region. An objectness calculation unit 42 calculates the objectness of the candidate region based on the edge density on the periphery of the candidate region, the edge density inside the candidate region, and the edge uniformity on the periphery of the candidate region.
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公开(公告)号：US20210209403A1
公开(公告)日：2021-07-08
申请号：US17251172
申请日：2019-05-07
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Shuhei TARASHIMA , Takashi HOSONO , Yukito WATANABE , Jun SHIMAMURA , Tetsuya KINEBUCHI
Abstract: Even if an object to be detected is not remarkable in images, and the input includes images including regions that are not the object to be detected and have a common appearance on the images, a region indicating the object to be detected is accurately detected. A local feature extraction unit 20 extracts a local feature of a feature point from each image included in an input image set. An image-pair common pattern extraction unit 30 extracts, from each image pair selected from images included in the image set, a common pattern constituted by a set of feature point pairs that have similar local features extracted by the local feature extraction unit 20 in images constituting the image pair, the set of feature point pairs being geometrically similar to each other. A region detection unit 50 detects, as a region indicating an object to be detected in each image included in the image set, a region that is based on a common pattern that is omnipresent in the image set, of common patterns extracted by the image-pair common pattern extraction unit 30.
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公开(公告)号：US20210201440A1
公开(公告)日：2021-07-01
申请号：US17058089
申请日：2019-05-28
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Jun SHIMAMURA , Shuhei TARASHIMA , Yukito WATANABE , Takashi HOSONO , Tetsuya KINEBUCHI
Abstract: An object is to make it possible to precisely infer a geometric transformation matrix for transformation between an image and a reference image representing a plane region even if correspondence to the reference image cannot be obtained. A first line segment group extraction unit 120 extracts, out of a line segment group in an image, line segments that correspond to a direction that is parallel or perpendicular to a side of a rectangle included in the image, from the inside of the rectangle, takes the extracted line segments to be a first line segment group, and extracts a plurality of line segments different from the first line segment group out of the line segment group. An endpoint detection unit 150 detects four intersection points between ends of the image and two line segments that are selected from line segments that correspond to a direction that is parallel or perpendicular to a side of the rectangle and are extracted from a plurality of line segments obtained by transforming the different line segments using an affine transformation matrix in which an angle of the first line segment group relative to a reference direction of the image is used as a rotation angle. A homography matrix inferring unit 160 computes a geometric transformation matrix based on the affine transformation matrix and a homography matrix computed based on correspondence between the four intersection points and the four vertexes of the rectangle in a reference image.
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