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An automatic 3D reconstruction system based on binocular vision measurement
Author(s): Shuangyin Liu; Zhenwei Wang; Fang Fan
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Paper Abstract

With the rapid development of computer vision, vision measurement and 3D reconstruction have become a hot research trend. However, it is still a problem to reconstruct the weak texture surface in engineering. In this paper, we present the systematic design and implementation of an automatic measurement system based on binocular vision. The hardware configuration of the verification platform is presented, including CCD cameras, stepper motors, laser displacement sensors and so on. Binocular-vision algorithms including camera calibration, feature extraction, stereo match and 3D reconstruction are prompted to reconstruct the weak texture surface. An experiment demonstrates the effectiveness and feasibility of this platform.

Paper Details

Date Published: 24 October 2017
PDF: 6 pages
Proc. SPIE 10458, AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing, 1045819 (24 October 2017); doi: 10.1117/12.2285120
Show Author Affiliations
Shuangyin Liu, Univ. of Electronic Science and Technology of China (China)
Zhenwei Wang, Univ. of Electronic Science and Technology of China (China)
Fang Fan, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 10458:
AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing
Wolfgang Osten; Anand Krishna Asundi; Huijie Zhao, Editor(s)

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