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Proceedings Paper

High-speed three-dimensional shape measurement based on robust Gray-code coding strategies
Author(s): Zhoujie Wu; Wenbo Guo; Chao Zuo; Qican Zhang
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Paper Abstract

The measuring technique combining phase-shifting algorithm and Gray-code light has been widely used in threedimensional (3D) shape measurement for static scenes owing to its high robustness and anti-noise ability. However, it is challenging for this method to realize a high-speed shape measurement using fewer patterns. Because of the object motion and the defocus of the projector, phase unwrapping errors occur easily on the boundaries of adjacent Gray-code words. In existing methods, median filtering or extra patterns projecting were used to overcome this challenge. In this paper, two robust Gray-code coding strategies have been proposed for the same purpose. By recoding the traditional Gray codes in temporal and spatial domains respectively, cyclic complementary Gray-code (CCGC) patterns and shifting Gray-code (SGC) patterns are designed. Both of these two coding strategies can obtain two sets of decoding words whose boundaries are stagger for one wrapped phase. To avoid using the decoding words on the edge, different decoding codes are used depending on the range of phase value. So the robust and simple phase unwrapping can be achieved without projecting extra patterns. High-quality 3D results of multiple randomly moving objects with sharp edges verified the proposed methods’ feasibility and validity

Paper Details

Date Published: 16 October 2019
PDF: 6 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112052B (16 October 2019); doi: 10.1117/12.2541757
Show Author Affiliations
Zhoujie Wu, Sichuan Univ. (China)
Wenbo Guo, Sichuan Univ. (China)
Chao Zuo, Nanjing Univ. of Science and Technology (China)
Qican Zhang, Sichuan Univ. (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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