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Proceedings Paper

A robust matching method for fast 3D shape measurement using digital speckle correlation
Author(s): Qifan Shi; Xu Cheng; Shaojun Ma; Pan Zhang; Yuze Zhang; Kai Zhong; Congjun Wang; Zhongwei Li
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Paper Abstract

Digital speckle correlation (DSC) solves the problem of searching corresponding points between two images, and it shows great application potential in pattern-projection based fast 3D shape measurement, because only one shot is enough to retrieve the 3D structure. As DSC relies on analyzing the spatial intensity distribution of a subset in image with a given point, it is likely to get false correspondences in low quality DSC area such as the background, because the searching range is hard to locate. So it is still hard to use DSC to realize fast 3D shape measurement. To solve this problem, the gray standard deviation of the subset is designed to recognize and remove the low-quality DSC area, and the principle of epipolar geometry and disparity constraint are utilized to determine the searching range, so the correspondences can be obtained. Moreover, in order to enhance the robustness of this method, a connected region method based on neighboring pixels possessing similar disparity is proposed to remove mismatched points after establishing initial disparity map by correspondences. Once the disparity map is obtained 3D structure can be retrieved based on the triangulation principle. The experiment on reconstructing Gorky plaster statue is performed, verifying that the proposed method can substantially reduce mismatched points and achieve robust single frame 3D shape measurement.

Paper Details

Date Published: 16 October 2019
PDF: 6 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112051G (16 October 2019); doi: 10.1117/12.2541927
Show Author Affiliations
Qifan Shi, Huazhong Univ. of Science and Technology (China)
Xu Cheng, Huazhong Univ. of Science and Technology (China)
Shaojun Ma, Huazhong Univ. of Science and Technology (China)
Pan Zhang, Huazhong Univ. of Science and Technology (China)
Yuze Zhang, Huazhong Univ. of Science and Technology (China)
Kai Zhong, Huazhong Univ. of Science and Technology (China)
Congjun Wang, Huazhong Univ. of Science and Technology (China)
Zhongwei Li, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11205:
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
Anand Asundi; Motoharu Fujigaki; Huimin Xie; Qican Zhang; Song Zhang; Jianguo Zhu; Qian Kemao, Editor(s)

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