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Laser & Optoelectronics Progress, Volume. 56, Issue 11, 111004(2019)

Feature-Aware Three-Dimensional Point Cloud Simplification Algorithm

Chengfu Wang**, Guohua Geng*, Jiabei Hu, and Yongjie Zhang
Author Affiliations
  • School of Information Science and Technology, Northwest University, Xi'an, Shaanxi 710127, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
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    References (42)
    Cited By (2)
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    Figures & Tables(11)
    Space segmentation of octree

    Fig. 1. Space segmentation of octree

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    Octree structure

    Fig. 2. Octree structure

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    Schematic of neighbor points near projection point

    Fig. 3. Schematic of neighbor points near projection point

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    Original point cloud

    Fig. 4. Original point cloud

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    EM cluster

    Fig. 5. EM cluster

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    Feature points and non-feature points selected by curvature estimation. (a) Original point cloud; (b) curvature estimation point cloud

    Fig. 6. Feature points and non-feature points selected by curvature estimation. (a) Original point cloud; (b) curvature estimation point cloud

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    Directed Hausdorff distance

    Fig. 7. Directed Hausdorff distance

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    Simplification effect of each point cloud model. (a) Bunny; (b) chair; (c) TW

    Fig. 8. Simplification effect of each point cloud model. (a) Bunny; (b) chair; (c) TW

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    Reconstruction effect at different simplification rates. (a) Bunny; (b) chair; (c) TW

    Fig. 9. Reconstruction effect at different simplification rates. (a) Bunny; (b) chair; (c) TW

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    • Table 1. Simplification speed of each point cloud model at different simplification rates

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      Table 1. Simplification speed of each point cloud model at different simplification rates

      Point cloudmodelOriginalpoint cloudClusternumberSimplification time /ms
      η=80%η=50%η=20%
      ECSECSECS
      Bunny35949125106325812510634931251063674
      Chair4996030839133248391358783913732
      TW349863107610672312410761067259361076106728784
      Bunny35949125142220612514224111251422578
      Chair4996050831385289831385562831385694
      TW349863107623625293710762362554641076236258293
      Bunny35949125206519712520653831252065502
      Chair4996070831968264831968551831968675
      TW349863107636735275410763673552691076367357931

    • Table 2. Comparison of simplification speed and error for different algorithms under same model

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      Table 2. Comparison of simplification speed and error for different algorithms under same model

      Point cloudmodelSimplificationratio /%SimplifiedalgorithmSimplifiedtime /msMaximumerror /(10-4 mm)Averageerror /(10-4 mm)
      CAA500031631042
      Bunny50CSM<35002178612
      Proposed<30002086473
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    Chengfu Wang, Guohua Geng, Jiabei Hu, Yongjie Zhang. Feature-Aware Three-Dimensional Point Cloud Simplification Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111004

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    Paper Information

    Category: Image Processing

    Received: Nov. 29, 2018

    Accepted: Dec. 25, 2018

    Published Online: Jun. 13, 2019

    The Author Email: Chengfu Wang (976375270@qq.com), Guohua Geng (920759301@qq.com)

    DOI:10.3788/LOP56.111004

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology