Infrared and Laser Engineering, Volume. 52, Issue 2, 20220390(2023)

Additional value-added conditional moving least squares method for point cloud hole repair

Yiling Lan, Chuanli Kang, Ning Wang, Jiale Yang, and Jinqi Chen
Author Affiliations
  • College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
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    Figures & Tables(14)
    General flow chart
    Projection diagram of the discrete points in the node neighbourhood
    Results of the repair of the hole in the stela model
    Hole repair results of horse head model
    Comparison chart of curvature distribution of horse head model
    Hole repair results of Bunny model
    Comparison chart of curvature distribution of Bunny model
    Hole repair process of the dragon model and the comparison between the original model and the repair result
    Hole repair results of the dragon model
    Comparison of the curvature distribution of the dragon model
    • Table 1. Comparison of hole repair results of stela model point cloud

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      Table 1. Comparison of hole repair results of stela model point cloud

      Model point cloud count Hole point cloud number Box parameters/mMethodRepair point cloud number Integrity rateAccuracy rateICP-error/mmt/s
      2890216dx=0.316 dy=1.278 dz=0.980 TG30792.32%88.46%0.10520.24
      FWS12696.51%91.07%0.06413.41
      MLS10590.43%86.62%0.14217.58
      Literature [10] 16998.01%94.74%0.0259.83
      Proposed25499.84%97.38%0.0083.16
    • Table 2. Comparison of point cloud hole repair results of horse head model

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      Table 2. Comparison of point cloud hole repair results of horse head model

      Model point cloud count Hole point cloud number Box parameters/mMethodRepair point cloud number Integrity rateAccuracy rateRmse/mm ICP-error/mmt/s
      9695302dx=0.068 dy=0.084 dz=0.044 TG56291.38%86.14%0.5561.34247.35
      FWS12795.75%85.72%0.5071.91439.48
      MLS10188.90%83.48%0.5741.27544.19
      Literature [10] 17697.04%91.37%0.1720.85134.54
      Proposed27998.96%94.39%0.0290.25813.26
    • Table 3. Comparison of point cloud hole repair results of Bunny model

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      Table 3. Comparison of point cloud hole repair results of Bunny model

      Model point cloud count Hole point cloud number Box parameters/mMethodRepair point cloud number Integrity rateAccuracy rateRmse/mm ICP-error/mmt/s
      35947620dx=15.570 dy=15.433 dz=12.067 TG118892.12%83.76%3.7850.30385.59
      FWS25390.68%83.04%3.5060.09976.60
      MLS22589.76%80.49%3.6680.28280.31
      Literature [10] 35693.71%89.72%2.3360.09463.39
      Proposed53999.05%93.87%1.0510.00328.49
    • Table 4. Comparison of point cloud hole repair results of dragon model

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      Table 4. Comparison of point cloud hole repair results of dragon model

      Model point cloud count Hole point cloud number Box parameters/mMethodRepair numberIntegrity rateAccuracy rateRmse/mm ICP-error/mmt/s
      474492158dx=0.205 dy=0.144 dz=0.092 TG100383.68%79.75%2.8574.186163.40
      FWS39581.14%73.46%3.3945.800146.17
      MLS36872.62%65.20%5.1666.57298.46
      Literature [10] 64783.23%80.09%2.8254.311112.53
      Proposed151598.67%91.95%0.7720.73557.32
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    Yiling Lan, Chuanli Kang, Ning Wang, Jiale Yang, Jinqi Chen. Additional value-added conditional moving least squares method for point cloud hole repair[J]. Infrared and Laser Engineering, 2023, 52(2): 20220390

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    Paper Information

    Category: Image processing

    Received: Jun. 7, 2022

    Accepted: --

    Published Online: Mar. 13, 2023

    The Author Email:

    DOI:10.3788/IRLA20220390

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