A Calibration Method for a Self-Rotating, Linear-Structured-Light Scanning, Three-Dimensional Reconstruction System Based on Plane Constraints

被引:3
作者
Zhao, Jianping [1 ,2 ]
Cheng, Yong [1 ]
Cai, Gen [1 ]
He, Shengbo [1 ]
Liao, Libing [1 ]
Wu, Guoqiang [1 ]
Yang, Li [1 ]
Feng, Chang [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
关键词
linear-structured light; three-dimensional reconstruction; rotation center; calibration;
D O I
10.3390/s21248359
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This paper proposes a calibration method for a self-rotating, linear-structured-light (LSL) scanning, three-dimensional reconstruction system based on plane constraints. The point cloud of plane target collected by the self-rotating, LSL scanning, 3D reconstruction system should be constrained to the basic principle of the plane equation; it can quickly and accurately calibrate the position parameters between the coordinate system of the LSL module and the coordinate system of the self-rotating, LSL scanning, 3D reconstruction system. Additionally, the transformation equation could be established with the calibrated optimal position parameters. This paper obtains the above-mentioned position parameters through experiments and uses the calibrated self-rotating, LSL scanning, 3D reconstruction system to perform three-dimensional scanning and reconstruction of the test piece. The experimental results show that the calibration method can effectively improve the measurement accuracy of the system.
引用
收藏
页数:11
相关论文
共 21 条
  • [1] Automatic Calibration of Spinning Actuated Lidar Internal Parameters
    Alismail, Hatem
    Browning, Brett
    [J]. JOURNAL OF FIELD ROBOTICS, 2015, 32 (05) : 723 - 747
  • [2] 一种三维激光扫描系统的设计及参数标定
    蔡军
    赵原
    李宇豪
    解杨敏
    [J]. 北京航空航天大学学报, 2018, 44 (10) : 2208 - 2216
  • [3] Vision and laser fused SLAM in indoor environments with multi-robot system
    Chen, Haoyao
    Huang, Hailin
    Qin, Ye
    Li, Yanjie
    Liu, Yunhliz
    [J]. ASSEMBLY AUTOMATION, 2019, 39 (02) : 297 - 307
  • [4] A Laser Line Auto-Scanning System for Underwater 3D Reconstruction
    Chi, Shukai
    Xie, Zexiao
    Chen, Wenzhu
    [J]. SENSORS, 2016, 16 (09):
  • [5] Huang F.S, 2018, J OPT LASER, V29, P67
  • [6] 노태호, 2008, [Journal of the Korean Association of Geographic Information Studies, 한국지리정보학회지], V11, P90
  • [7] Li L., 2013, P INT C OPT PREC ENG
  • [8] Liang X, 2016, 2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), P19, DOI 10.1109/ROBIO.2016.7866271
  • [9] Manakov A, 2011, P VIS MOD VIS WORKSH, P207, DOI DOI 10.2312/PE/VMV/VMV11/207-214
  • [10] Mao Y., 2018, ADV MECH ENG, V10