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公开(公告)号:US20200184684A1
公开(公告)日:2020-06-11
申请号:US16233262
申请日:2018-12-27
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Tien-Yan MA , Te-Mei Wang , Ping-Chang Shih
Abstract: A depth camera calibration device and a method thereof are provided. The method comprises: disabling a projection function of a camera and photographing surface planes to obtain a first image; enabling the projection function of the camera and photographing the surface planes to obtain a second image, and a positional relationship between the camera and a calibration plate assembly remaining unchanged when obtaining the first image and the second image; and obtaining parameters of the camera by cropping an image boundary, calculating positions of characteristic points, reading a projection pattern, calculating positions of corresponding points and excluding abnormal points according to the first image and the second image.
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公开(公告)号:US10977829B2
公开(公告)日:2021-04-13
申请号:US16233262
申请日:2018-12-27
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Tien-Yan Ma , Te-Mei Wang , Ping-Chang Shih
Abstract: A depth camera calibration device and a method thereof are provided. The method comprises: disabling a projection function of a camera and photographing surface planes to obtain a first image; enabling the projection function of the camera and photographing the surface planes to obtain a second image, and a positional relationship between the camera and a calibration plate assembly remaining unchanged when obtaining the first image and the second image; and obtaining parameters of the camera by cropping an image boundary, calculating positions of characteristic points, reading a projection pattern, calculating positions of corresponding points and excluding abnormal points according to the first image and the second image.
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公开(公告)号:US12290917B2
公开(公告)日:2025-05-06
申请号:US17505041
申请日:2021-10-19
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Dong-Chen Tsai , Ping-Chang Shih , Yu-Ru Huang , Hung-Chun Chou
Abstract: An object pose estimation system, an execution method thereof and a graphic user interface are provided. The execution method of the object pose estimation system includes the following steps. A feature extraction strategy of a pose estimation unit is determined by a feature extraction strategy neural network model according to a scene point cloud. According to the feature extraction strategy, a model feature is extracted from a 3D model of an object and a scene feature is extracted from the scene point cloud by the pose estimation unit. The model feature is compared with the scene feature by the pose estimation unit to obtain an estimated pose of the object.
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