Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1828006(2022)

Point Cloud Registration Method Based on Curvature Threshold

Jinyue Liu, Gang Zhang, Xiaohui Jia*, Haotian Guo, and Tiejun Li
Author Affiliations
  • College of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
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    Figures & Tables(9)
    Experimental device
    Flow chart of registration algorithm
    Flow chart of curvature reduction algorithm
    KD tree indexing principle
    Raw point cloud data. (a) Point clouds inside and outside laboratory; (b) corridor point clouds
    Point cloud key point. (a) Feature point of cloud in scene 1; (b) feature point of cloud in scene 2
    Scene 1 point cloud registration rendering. (a) Registration of rendering; (b) real scene diagram
    Scene 2 point cloud registration rendering. (a) Registration of rendering; (b) real scene diagram
    • Table 1. Registration data comparison table

      View table

      Table 1. Registration data comparison table

      MethodRough registration time /sPrecise registration time /sTotal time /sPrecision /m2
      Scene 1Scene 2Scene 1Scene 2Scene 1Scene 2Scene 1Scene 2
      SAC-IC+ICP73968549387887230.1000.095
      DNT+ICP based on voxel filter939742.79799.70.0920.065
      DNT+ICP based on color769664.482100.40.0760.052
      Proposed method57701.021.3658.0271.360.0400.045
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    Jinyue Liu, Gang Zhang, Xiaohui Jia, Haotian Guo, Tiejun Li. Point Cloud Registration Method Based on Curvature Threshold[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1828006

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 16, 2021

    Accepted: Sep. 2, 2021

    Published Online: Aug. 30, 2022

    The Author Email: Jia Xiaohui (2010081@hebut.edu.cn)

    DOI:10.3788/LOP202259.1828006

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