基于标签化匹配区域校正的双目立体匹配算法

doi:10.16451/j.cnki.issn1003-6059.202008002

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Abstract Binocular stereo vision is an accurate and effective measurement method. A binocular stereo matching method for label matching region correction is proposed. Based on the conventional graph cuts algorithm, the matching region is corrected by the spatial geometrical information of the block and a higher subpixel accuracy matching disparity map is obtained. Firstly, the correction transformation is determined by label and spatial geometrical information, and consequently the pixel information of the matching area of the left and right images are fully exploited. Then, the candidate 3D label is updated repeatedly to find the label minimizing the global energy. Finally, the left-right checking and the mean filtering are utilized to refine the disparity map. Experiments show that the proposed method is effective in finding a good, smooth piecewise linear disparity map with higher accuracy for edge region and occlusion region.

Key words： Stereo Matching Graph Cuts Region Correction 3D Label Correction Conversion

Received: 18 May 2020

ZTFLH:

TP 391

Fund:Supported by National Natural Science Foundation for Young Scientists of China(No.11301482), Key Research and Development Project of Zhejiang Province(No.2020C01005, 2020C0100
6), Graduate Teaching Reform Project of Zhejiang University of Technology(No.2018127)

Corresponding Authors: WU Chao, Ph.D., lecturer. His research interests include pa-ttern recognition, image processing, differential geometry and its applications.

About author:: ZHOU Jiali, Ph.D., associate professor. His research interests include computer vision, pattern recognition, image processing, classification coding and industrial robotics. CHEN Yu, master student. His research interests include stereo vision.

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Cite this article:

ZHOU Jiali,CHEN Yu,WU Chao等. Binocular Stereo Matching Algorithm Based on Labeled Matching Region Correction[J]. , 2020, 33(8): 681-691.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202008002 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2020/V33/I8/681

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