Laser & Optoelectronics Progress, Volume. 59, Issue 14, 1415018(2022)

Distance Measurement Based on Three-Dimensional Surface Reconstruction of Spatial Point Cloud

Dongyun Lin1, Jiaqi Lu1, Chunming Li2、*, and Xiafu Peng1
Author Affiliations
  • 1School of Aerospace Engineering, Xiamen University, Xiamen 361100, Fujian , China
  • 2School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 610000, Sichuan , China
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    In the machinery manufacturing industry, the measurement results of the size parameters of a workpiece are related to the material use rate and the working performance of the equipment, which has important practical significance. This study proposes a vision measurement method for workpieces based on binocular vision and line-structured light. First, the line-structured light and binocular vision are used to obtain the spatial point cloud of the target surface, and a shortest path search algorithm for the surface distance between any two points based on the spatial point cloud is designed. Then, the geodesic distance measurement results are optimized through surface reconstruction and partial projection. The results reveal that the range of the noncontact measurement is within 100?620 mm, and experiments show that the relative error does not exceed 0.70% compared with manual measurement. This method is expected to be applied to noncontact distance measurements on the surface of a medium-sized workpiece.

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    Dongyun Lin, Jiaqi Lu, Chunming Li, Xiafu Peng. Distance Measurement Based on Three-Dimensional Surface Reconstruction of Spatial Point Cloud[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415018

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    Paper Information

    Category: Machine Vision

    Received: May. 6, 2022

    Accepted: Jun. 21, 2022

    Published Online: Jul. 18, 2022

    The Author Email: Li Chunming (chunming.li@uestc.edu.cn)

    DOI:10.3788/LOP202259.1415018

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