• Acta Photonica Sinica
  • Vol. 50, Issue 11, 1112002 (2021)
Raobo LI1, Xiping YUAN2、3, Shu GAN1、2、*, Rui BI1, Sha GAO1, and Lin HU1
Author Affiliations
  • 1Faculty of Land Resources and Engineering,Kunming University of Science and Technology,Kunming 650093,China
  • 2Application Engineering Research Center of Spatial Information Surveying and Mapping Technology in Plateau and Mountainous Areas Set by Universities in Yunnan Province,Kunming 650093,China
  • 3College of Geosciences and Engineering,West Yunnan University of Applied Sciences,Dali,Yunnan 671009,China
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    DOI: 10.3788/gzxb20215011.1112002 Cite this Article
    Raobo LI, Xiping YUAN, Shu GAN, Rui BI, Sha GAO, Lin HU. Research on Point Cloud Registration Method Using Gravity Feature Transformation[J]. Acta Photonica Sinica, 2021, 50(11): 1112002 Copy Citation Text show less
    The formation of three eigenvectors
    Fig. 1. The formation of three eigenvectors
    Schematic diagram of the nearest point constructed by the mean value of coordinate points
    Fig. 2. Schematic diagram of the nearest point constructed by the mean value of coordinate points
    Rotation does not change the relative distance between the points and the angle of the vector
    Fig. 3. Rotation does not change the relative distance between the points and the angle of the vector
    Registration results of Bunny
    Fig. 4. Registration results of Bunny
    Registration results of Horse
    Fig. 5. Registration results of Horse
    Two sets of physical maps
    Fig. 6. Two sets of physical maps
    Registration results of Tea caddy
    Fig. 7. Registration results of Tea caddy
    Registration results of Cup
    Fig. 8. Registration results of Cup
    AlgorithmTime/sMSE/mm
    BunnyHorseBunnyHorse
    Algorithm in Ref.[1135.1337.920.087 20.085 6
    Algorithm in Ref.[1849.3551.450.021 40.019 2
    Algorithm in Ref.[1934.6236.240.015 40.012 0
    Classic ICP42.7245.460.276 30.253 8
    Proposed algorithm24.5326.370.012 60.010 2
    Table 1. Comparison of classic point cloud data registration
    AlgorithmTime/sMSE/mm
    Tea caddyCupTea caddyCup
    Algorithm in Ref.[1163.2060.740.095 20.094 9
    Algorithm in Ref.[1885.4780.290.029 40.028 7
    Algorithm in Ref.[1962.1859.220.020 30.019 1
    Classic ICP75.4372.170.337 50.302 6
    Proposed algorithm53.8449.190.018 90.017 7
    Table 2. Comparison of registration of measured point cloud data
    Raobo LI, Xiping YUAN, Shu GAN, Rui BI, Sha GAO, Lin HU. Research on Point Cloud Registration Method Using Gravity Feature Transformation[J]. Acta Photonica Sinica, 2021, 50(11): 1112002
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