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ZTE Communications ›› 2024, Vol. 22 ›› Issue (4): 53-58.DOI: 10.12142/ZTECOM.202404008

• Research Papers • 上一篇    下一篇

  

  • 收稿日期:2023-10-22 出版日期:2024-12-20 发布日期:2024-12-03

Multi-View Structured Light 3D Measurement System

LU Ping1, ZHANG Yingjie2, DENG Fangwei1, LIU Wei2(), HUANG Shijun1   

  1. 1.ZTE Corporation, Shenzhen 518057, China
    2.Southern University of Science and Technology, Shenzhen 513000, China
  • Received:2023-10-22 Online:2024-12-20 Published:2024-12-03
  • About author:LU Ping is the deputy president of ZTE Corporation, where he is also the general manager of the Industrial Digitalization Solution Dept., and the executive deputy director of State Key Laboratory of Mobile Network and Mobile Multimedia Technology. His research interests include cloud computing, big data, augmented reality, and multimedia service-based technologies. He has supported and participated in multiple major national science and technology projects and national science and technology support projects. He has published multiple papers and authored two books.
    ZHANG Yingjie is a second year graduate student at Southern University of Science and Technology, China, with research interests in machine vision and 3D structured light technology.
    DENG Fangwei is the product director of the Industry Digital Solution Department of ZTE Corporation. His research direction is to provide industry digital bases and mobile robots for industrial digital transformation, as well as supporting products.
    LIU Wei (liuw2@sustech.edu.cn) is a research professor with Southern University of Science and Technology, China. His research focuses on robotic perception, such as sensing, tracking, localization and navigation.
    HUANG Shijun is a senior strategic planner at ZTE Corporation. His research interests include machine vision, artificial intelligence, computer vision and deep learning.
  • Supported by:
    the 2023 Guangdong Basic and Applied Basic Research Fund Regional Joint Fund Key Project(2023B1515120017);2023 Key Project of Guangdong Provincial Department of Education for General Universities(2023ZDZX3024);ZTE Industry?University?Institute Cooperation Funds(K2133Z167)

Abstract:

Vision-based measurement technology benefits high-quality manufacturers through improved dimensional precision, enhanced geometric tolerance, and increased product yield. The monocular 3D structured light visual sensing method is popular for detecting online parts since it can reach micron-meter depth accuracy. However, the line-of-sight requirement of a single viewpoint vision system often fails when hiding occurs due to the object’s surface structure, such as edges, slopes, and holes. To address this issue, a multi-view 3D structured light vision system is proposed in this paper to achieve high accuracy, i.e., Z-direction repeatability, and reduce hiding probability during mechanical dimension measurement. The main contribution of this paper includes the use of industrial cameras with high resolution and high frame rates to achieve high-precision 3D reconstruction. Moreover, a multi-wavelength (heterodyne) phase expansion method is employed for high-precision phase calculation. By leveraging multiple industrial cameras, the system overcomes field of view occlusions, thereby broadening the 3D reconstruction field of view. Finally, the system achieves a Z-axis repetition accuracy of 0.48 μm.

Key words: 3D measurement, structured light, multi-view