8 March 2018 Research on three-dimensional reconstruction method based on binocular vision
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Proceedings Volume 10609, MIPPR 2017: Pattern Recognition and Computer Vision; 106090I (2018) https://doi.org/10.1117/12.2283522
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
Abstract
As the hot and difficult issue in computer vision, binocular stereo vision is an important form of computer vision,which has a broad application prospects in many computer vision fields,such as aerial mapping,vision navigation,motion analysis and industrial inspection etc.In this paper, a research is done into binocular stereo camera calibration, image feature extraction and stereo matching. In the binocular stereo camera calibration module, the internal parameters of a single camera are obtained by using the checkerboard lattice of zhang zhengyou the field of image feature extraction and stereo matching, adopted the SURF operator in the local feature operator and the SGBM algorithm in the global matching algorithm are used respectively, and the performance are compared. After completed the feature points matching, we can build the corresponding between matching points and the 3D object points using the camera parameters which are calibrated, which means the 3D information.
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Jinlin Li, Zhihui Wang, Minjun Wang, "Research on three-dimensional reconstruction method based on binocular vision ", Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090I (8 March 2018); doi: 10.1117/12.2283522; https://doi.org/10.1117/12.2283522
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