• Acta Optica Sinica
  • Vol. 42, Issue 2, 0214003 (2022)
Raobo Li1, Xiping Yuan2、3, Shu Gan1、2、*, Rui Bi1, Sha Gao1, and Yan Guo1
Author Affiliations
  • 1Faculty of Land Resources and Engineering, Kunming University of Science and Technology, Kunming, Yunnan 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, Yunnan 650093, China
  • 3College of Geosciences and Engineering, West Yunnan University of Applied Sciences, Dali, Yunnan, 671009, China
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    DOI: 10.3788/AOS202242.0214003 Cite this Article Set citation alerts
    Raobo Li, Xiping Yuan, Shu Gan, Rui Bi, Sha Gao, Yan Guo. Point Cloud Registration Method Based on Dual Quaternion Description of Line-Planar Feature Constraints[J]. Acta Optica Sinica, 2022, 42(2): 0214003 Copy Citation Text show less
    Spatial geometric relation between straight line and plane. (a) Selected line-planar features in un-registered point cloud; (b) selected line-planar features in target point cloud
    Fig. 1. Spatial geometric relation between straight line and plane. (a) Selected line-planar features in un-registered point cloud; (b) selected line-planar features in target point cloud
    Flowchart of point cloud registration algorithm
    Fig. 2. Flowchart of point cloud registration algorithm
    Point cloud data of station 16 and station 17 before and after registration. (a) Before registration; (b) after registration
    Fig. 3. Point cloud data of station 16 and station 17 before and after registration. (a) Before registration; (b) after registration
    Influence of noise standard deviation on registration accuracy under different conditions. (a) Angle between lines; (b) angle between planes
    Fig. 4. Influence of noise standard deviation on registration accuracy under different conditions. (a) Angle between lines; (b) angle between planes
    Registration results of Ref. [7,14]. (a) Ref. [7]; (b) Ref. [14]
    Fig. 5. Registration results of Ref. [7,14]. (a) Ref. [7]; (b) Ref. [14]
    Valuer0r1r2r3t0t1t2t3μ
    Real value0.9953-0.0002-0.0001-0.09680.0139-1.0697-4.55580.14751.0000
    Calculated value0.9950-0.0003-0.0007-0.09670.0107-1.0690-4.55490.14691.0002
    Table 1. Real value of dual quaternion considering scale factor and calculated value of proposed method
    AlgorithmParameter1510152025
    L-MNumber of iterations68132503172043288641
    Time /s0.1340.3060.6032.0755.35610.402
    Gaussian-NewtonNumber of iterations18-----
    Time /s0.028-----
    Table 2. Number of iterations and running time of L-M algorithm and Gaussian-Newton algorithm under different initial values
    MethodRT /mu
    Theoretical value0.98130.1927-0.0001-0.19270.98130.00030.0001-0.00031.0000-3.0113-8.86170.29761.0000
    Proposed method0.97950.1934-0.0012-0.19140.98030.00150.00170.00051.0000-3.0102-8.86340.29541.0002
    Ref. [7]0.98180.1935-0.0013-0.19550.9820-0.0002-0.00240.00021.0000-3.0120-8.86120.29610.9999
    Ref. [14]0.98300.19280.0019-0.19220.98140.0021-0.00190.00181.0000-3.0123-8.86490.29521.0005
    Table 3. Spatial transformation parameters calculated by different methods
    MethodαL /(°)ΔαL /(°)αP /(°)ΔαP /(°)MethodαL /(°)ΔαL /(°)αP /(°)ΔαP /(°)
    Theoretical value0.09530.08050.09340.0789Proposed method0.16190.11480.15810.1131
    0.08370.08240.04920.0501
    0.07700.07600.10810.1081
    0.05780.05700.09470.0920
    0.02300.01810.05870.0595
    Ref. [7]0.14690.12660.11180.1240Ref. [14]0.13740.12860.17090.1253
    0.07870.02360.07600.0114
    0.07970.11720.07180.0964
    0.11620.12740.14120.1008
    0.12830.13580.12820.1183
    Table 4. Angle between line and line, surface and surface and their errors
    Raobo Li, Xiping Yuan, Shu Gan, Rui Bi, Sha Gao, Yan Guo. Point Cloud Registration Method Based on Dual Quaternion Description of Line-Planar Feature Constraints[J]. Acta Optica Sinica, 2022, 42(2): 0214003
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