Laser & Optoelectronics Progress, Volume. 60, Issue 20, 2010004(2023)

Incomplete Laser 3D Point Cloud Classification and Completion Approach Based on Object Symmetry under Occlusion Conditions

Yong Tong1, Fangyong Xu2, Ning Yang1, and Hui Chen1、*
Author Affiliations
  • 1College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • 2Changfeng County Power Supply Company, State Grid Anhui Electric Power Co., Ltd., Hefei 231100, Anhui , China
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    Figures & Tables(17)
    Approach architecture and system construction. (a) Proposed method framework; (b) schematic of system construction
    Partial complete point cloud after multi-station collection and fusion
    Schematic of establishing a symmetric plane of incomplete point cloud
    Redundant point removal algorithm
    Completion results of half residual defect point cloud. (a) Rectangular pyramid; (b) hexagonal pyramid
    Completion results of incomplete point cloud less than half (single acquisition). (a) Iron tower;(b)pyramid;(c)dodecahedron;(d)hexagonal prism
    Completion results of incomplete point cloud less than half (self defect). (a) House; (b) missile car
    Completion results of incomplete point cloud more than half. (a) Cross; (b) sofa
    Completion results of incomplete point cloud more than half (cross)
    Fusion results of extremely defective point cloud
    Completion results of extremely defective point cloud
    • Table 1. System equipment and parameter setting

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      Table 1. System equipment and parameter setting

      NameParameter setting
      Point cloud acquisition deviceZivid One+ Medium
      Optimal acquisition range /m1‒3
      Distance of acquisition d /m2
      Angle of acquisition α /(°)45
    • Table 2. Classification of incomplete point cloud

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      Table 2. Classification of incomplete point cloud

      CategorySample graphFeature and definition
      Half residual defect point cloud or ,and at least
      Incomplete point clouds less than half,,
      Incomplete point clouds more than half∀Di>0 or ∀Di<0,min{n,m}=0,max{n,m}>0,100σ≥min{Di}>σ or less than N10000Di≤σ2
      Extremely defective point cloud or ,,,and
    • Table 3. Evaluation index value of half residual defect point cloud

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      Table 3. Evaluation index value of half residual defect point cloud

      Evaluation indexHexagonal pyramidRectangular pyramid
      RMS /cm0.10280.1702
      Surface area of half residual defect point cloud /cm2113.17188.51
      Surface area of the full model point cloud /cm2200.81327.90
      Surface area of the fused point cloud /cm2199.40327.09
      Surface area approximation of the fused point cloud to the full model point cloud /%99.399.8
    • Table 4. Evaluation index value of incomplete point cloud less than half

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      Table 4. Evaluation index value of incomplete point cloud less than half

      Evaluation indexIron towerPyramidDodecahedronHexagonal prismsHouseMissile car
      RMS /cm0.13790.08060.08670.09450.17460.1288
      Surface area of incomplete point cloud less than half /cm267.5671.02124.04209.92122.4556.92
      Surface area of the full model point cloud /cm2117.51138.74219.13275.73134.7875.06
      Surface area of the fused point cloud /cm2117.29136.79217.51270.67134.3173.72
      Surface area approximation of the fused point cloud to the full model point cloud /%99.898.699.398.299.798.2
    • Table 5. Evaluation index value of incomplete point cloud more than half

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      Table 5. Evaluation index value of incomplete point cloud more than half

      Evaluation indexCrossSofa
      RMS /cm0.14840.1382
      Surface area of incomplete point cloud more than half /cm2148.7721225.35
      Surface area of the full model point cloud /cm2356.2650048.46
      Surface area of the fused point cloud /cm2362.0650318.77
      Surface area approximation of the fused point cloud to the full model point cloud /%98.499.5
    • Table 6. Evaluation index value of extremely defective point cloud

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      Table 6. Evaluation index value of extremely defective point cloud

      Evaluation indexFaucetArmchair
      RMS /cm0.05490.1210
      Surface area of extremely defective point cloud /cm2630.0310330.24
      Surface area of the full model point cloud /cm22051.7431776.47
      Surface area of the fused point cloud /cm22082.1931079.61
      Surface area approximation of the fused point cloud to the full model point cloud /%98.597.8
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    Yong Tong, Fangyong Xu, Ning Yang, Hui Chen. Incomplete Laser 3D Point Cloud Classification and Completion Approach Based on Object Symmetry under Occlusion Conditions[J]. Laser & Optoelectronics Progress, 2023, 60(20): 2010004

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    Paper Information

    Category: Image Processing

    Received: Nov. 4, 2022

    Accepted: Jan. 6, 2023

    Published Online: Sep. 28, 2023

    The Author Email: Hui Chen (chenhui@shiep.edu.cn)

    DOI:10.3788/LOP222968

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