• Acta Optica Sinica
  • Vol. 39, Issue 1, 0115005 (2019)
Zhirong Tang1、*, Mingzhe Liu1、3、*, Chang Wang2, and Yue Jiang2
Author Affiliations
  • 1 College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, Sichuan 610059, China
  • 2 College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, Sichuan 610065, China
  • 3 Provincial Key Laboratory of Applied Nuclear Techniques in Geosciences, Chengdu University of Technology, Chengdu, Sichuan 610059, China
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    DOI: 10.3788/AOS201939.0115005 Cite this Article Set citation alerts
    Zhirong Tang, Mingzhe Liu, Chang Wang, Yue Jiang. Point Cloud Registration Based on Multi-Dimensional Mixed Cauchy Distribution[J]. Acta Optica Sinica, 2019, 39(1): 0115005 Copy Citation Text show less
    Initial states of point clouds of (a) Bunny and (b) Elephant
    Fig. 1. Initial states of point clouds of (a) Bunny and (b) Elephant
    Corresponding relationship between two point clouds after registration
    Fig. 2. Corresponding relationship between two point clouds after registration
    Corresponding relationship of Bunny point cloud after registration
    Fig. 3. Corresponding relationship of Bunny point cloud after registration
    Corresponding relationship of Elephant point cloud after registration
    Fig. 4. Corresponding relationship of Elephant point cloud after registration
    Corresponding relationship of Bunny point cloud after registration for each algorithm. (a) Registration with data-missing of 25%; (b) registration with data-missing of 50%; (c) registration with data-missing of 75%
    Fig. 5. Corresponding relationship of Bunny point cloud after registration for each algorithm. (a) Registration with data-missing of 25%; (b) registration with data-missing of 50%; (c) registration with data-missing of 75%
    Corresponding relationship of Elephant point cloud after registration for each algorithm. (a) Registration with data-missing of 25%; (b) registration with data-missing of 50%; (c) registration with data-missing of 75%
    Fig. 6. Corresponding relationship of Elephant point cloud after registration for each algorithm. (a) Registration with data-missing of 25%; (b) registration with data-missing of 50%; (c) registration with data-missing of 75%
    RMSE for six registration algorithms. (a) Bunny point cloud; (b) Elephant point cloud
    Fig. 7. RMSE for six registration algorithms. (a) Bunny point cloud; (b) Elephant point cloud
    RMSE for six registration algorithms. (a) Bunny point cloud; (b) Elephant point cloud
    Fig. 8. RMSE for six registration algorithms. (a) Bunny point cloud; (b) Elephant point cloud
    Initial states of point clouds of (a) Bunny and (b) Elephant
    Fig. 9. Initial states of point clouds of (a) Bunny and (b) Elephant
    Corresponding relationship between two point clouds after registration. (a)(b) Bunny point cloud; (c)(d) Elephant point cloud
    Fig. 10. Corresponding relationship between two point clouds after registration. (a)(b) Bunny point cloud; (c)(d) Elephant point cloud
    Two sets of physical maps. (a) Box A; (b) box B
    Fig. 11. Two sets of physical maps. (a) Box A; (b) box B
    Initial states of two sets of scanning data. (a) Box A; (b) box B
    Fig. 12. Initial states of two sets of scanning data. (a) Box A; (b) box B
    Registration results of box A point cloud
    Fig. 13. Registration results of box A point cloud
    Registration results of box B point cloud
    Fig. 14. Registration results of box B point cloud
    Point cloudRMSE /mm
    MMCGA+Scale-ICPGA+ICPGo-ICPGOGMACPD
    Bunny0.23720.23880.23870.23540.23850.3078
    Elephant0.03160.04920.03160.16570.05740.0213
    Table 1. RMSE for six registration algorithms
    AlgorithmRMSE /mm
    BunnyElephant
    MMC0.22510.0406
    Scale-ICP0.36650.0508
    Table 2. RMSE for two registration algorithms
    Point cloudRMSE /mm
    MMCMMC+ICPMMC+Scale-ICPGo-ICPGOGMACPD
    Box A0.25730.257714.46542.0629×10-50.25040.9703
    Box B0.58020.58860.60960.58170.58973.0836
    Table 3. RMSE for six registration algorithms
    Zhirong Tang, Mingzhe Liu, Chang Wang, Yue Jiang. Point Cloud Registration Based on Multi-Dimensional Mixed Cauchy Distribution[J]. Acta Optica Sinica, 2019, 39(1): 0115005
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