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公开(公告)号:US11315273B2
公开(公告)日:2022-04-26
申请号:US17604239
申请日:2020-03-05
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY , PENG CHENG LABORATORY
Inventor: Wei Zhong , Hong Zhang , Haojie Li , Zhihui Wang , Risheng Liu , Xin Fan , Zhongxuan Luo , Shengquan Li
Abstract: The present invention discloses a disparity estimation method for weakly supervised trusted cost propagation, which utilizes a deep learning method to optimize the initial cost obtained by the traditional method. By combining and making full use of respective advantages, the problems of false matching and difficult matching of untextured regions in the traditional method are solved, and the method for weakly supervised trusted cost propagation avoids the problem of data label dependency of the deep learning method.
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公开(公告)号:US12008779B2
公开(公告)日:2024-06-11
申请号:US17604588
申请日:2020-03-05
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY , PENG CHENG LABORATORY
Inventor: Wei Zhong , Hong Zhang , Haojie Li , Zhihui Wang , Risheng Liu , Xin Fan , Zhongxuan Luo , Shengquan Li
IPC: G06T7/593 , G06T3/4076 , G06V10/40 , G06V10/44
CPC classification number: G06T7/593 , G06T3/4076 , G06V10/40 , G06V10/443 , G06T2207/20084
Abstract: The present invention discloses a disparity estimation optimization method based on upsampling and exact rematching, which conducts exact rematching within a small range in an optimized network, improves previous upsampling methods such as neighbor interpolation and bilinear interpolation for disparity maps or cost maps, and works out a propagation-based upsampling method by the way of network so that accurate disparity values can be better restored from disparity maps in the upsampling process.
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公开(公告)号:US11948333B2
公开(公告)日:2024-04-02
申请号:US17604288
申请日:2020-03-05
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY , PENG CHENG LABORATORY
Inventor: Wei Zhong , Hong Zhang , Haojie Li , Zhihui Wang , Risheng Liu , Xin Fan , Zhongxuan Luo , Shengquan Li
CPC classification number: G06T7/85 , G06F17/12 , G06T5/50 , G06T2207/20221 , G06T2207/20228
Abstract: A disparity image fusion method for multiband stereo cameras belongs to the field of image processing and computer vision. The method obtains pixel disparity confidence information by using the intermediate output of binocular disparity estimation. The confidence information can be used to judge the disparity credibility of the position and assist disparity fusion. The confidence acquisition process makes full use of the intermediate output of calculation, and can be conveniently embedded into the traditional disparity estimation process, with high calculation efficiency and simple and easy operation. In the disparity image fusion method for multiband stereo cameras proposed by the method, the disparity diagrams participating in the fusion are obtained according to the binocular images of the corresponding bands, which makes full use of the information of each band and simultaneously avoiding introducing uncertainty and errors.
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公开(公告)号:US11908152B2
公开(公告)日:2024-02-20
申请号:US17603856
申请日:2020-03-05
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY , PENG CHENG LABORATORY
Inventor: Wei Zhong , Hong Zhang , Haojie Li , Zhihui Wang , Risheng Liu , Xin Fan , Zhongxuan Luo , Shengquan Li
CPC classification number: G06T7/596 , G06T7/85 , G06T2207/10012 , G06T2207/20228
Abstract: The present invention belongs to the field of image processing and computer vision, and discloses an acceleration method of depth estimation for multiband stereo cameras. In the process of depth estimation, during binocular stereo matching in each band, through compression of matched images, on one hand, disparity equipotential errors caused by binocular image correction can be offset to make the matching more accurate, and on the other hand, calculation overhead is reduced. In addition, before cost aggregation, cost diagrams are transversely compressed and sparsely matched, thereby reducing the calculation overhead again. Disparity diagrams obtained under different modes are fused to obtain all-weather, more complete and more accurate depth information.
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公开(公告)号:US11373555B2
公开(公告)日:2022-06-28
申请号:US16744687
申请日:2020-01-16
Applicant: Dalian University of Technology
Inventor: Hong Zhang , Xin Liu , Rui Yang , Dali Chai , Jianwei Liu , Wentao Zhang , Lan Ding
Abstract: It is a teaching system for remote hydraulic experiments based on combination of virtual and real, belonging to the field of teaching application. In the virtual simulation teaching system for remote hydraulic experiments based on combination of virtual and real, the virtual and real combination part involves that a hydraulic circuit is simulated by a student by remotely calling the Automation Studio software on the experimental platform, the hydraulic circuit is modified and optimized according to the idea of the student, and the hydraulic experimental platform is connected finally to perform actual operations. The system is also added with a network HD ball machine, a network video recorder, a switch, a ball machine bracket, a router and other devices to form a feedback system, so the student can observe the real-time operation of the hydraulic experimental platform through the feedback system.
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