• Laser & Optoelectronics Progress
  • Vol. 59, Issue 16, 1610005 (2022)
Siyuan Li1, Jin Liu1、*, Haima Yang2, and Haishan Liu1
Author Affiliations
  • 1School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
  • 2School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
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    DOI: 10.3788/LOP202259.1610005 Cite this Article Set citation alerts
    Siyuan Li, Jin Liu, Haima Yang, Haishan Liu. Point Cloud Coarse Registration Algorithm Based on Two-Stage Coordinate Transformation[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610005 Copy Citation Text show less
    Vertical registration process
    Fig. 1. Vertical registration process
    Horizontal registration process
    Fig. 2. Horizontal registration process
    Experimental setup for point cloud measurement
    Fig. 3. Experimental setup for point cloud measurement
    Experiment results of Bunny point cloud
    Fig. 4. Experiment results of Bunny point cloud
    Experiment results of Horse point cloud
    Fig. 5. Experiment results of Horse point cloud
    Experiment results of Cochlea point cloud
    Fig. 6. Experiment results of Cochlea point cloud
    Registration results of different algorithms. (a) Time; (b) RMSE
    Fig. 7. Registration results of different algorithms. (a) Time; (b) RMSE
    Point cloud S and point cloud T
    Fig. 8. Point cloud S and point cloud T
    Coarse registration process
    Fig. 9. Coarse registration process
    Registration result
    Fig. 10. Registration result
    Point cloudAlgorithmTime /sRMSE /mm
    BunnyProposed algorithm4.2261.897×10-8
    PFH algorithm34.7967.239×10-7
    FPFH algorithm13.1621.443×10-6
    3DSC algorithm51.5879.741×10-9
    Table 1. Comparison of Bunny point cloud registration of different algorithms
    Point cloudAlgorithmTime /sRMSE /mm
    HorseProposed algorithm4.2569.296×10-9
    PFH algorithm44.9761.239×10-7
    FPFH algorithm22.5566.443×10-7
    3DSC algorithm102.72.392×10-10
    Table 2. Comparison of Horse point cloud registration of different algorithms
    Point cloudAlgorithmTime /sRMSE /mm
    CochleaProposed algorithm5.382.457×10-9
    PFH algorithm23.8121.744×10-2
    FPFH algorithm19.9873.806×10-2
    3DSC algorithm52.1894.744×10-9
    Table 3. Comparison of Cochlea point cloud registration of different algorithms
    Siyuan Li, Jin Liu, Haima Yang, Haishan Liu. Point Cloud Coarse Registration Algorithm Based on Two-Stage Coordinate Transformation[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610005
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