Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1628005(2023)

Point-Cloud Data Reduction Based on Neighborhood-Point Position Feature

Zihui Zhang1,2 and Yunlan Guan1,2、*
Author Affiliations
  • 1Faculty of Geomatics, East China University of Technology, Nanchang 330013, Jiangxi, China
  • 2Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake, Ministry of Natural Resources, Nanchang 330013, Jiangxi, China
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    Figures & Tables(16)
    Algorithm flow
    Gridding flow chart
    Schematic diagram of gridding results
    Point cloud of point P (red five pointed star) and y=Y±1 area
    Point cloud of point P and points included in Pup (green) and Pdown (blue)
    Weight distribution of points within search range when r is 7
    Data of original point cloud
    Results of skull point cloud reduction. (a) Original model; (b) proposed algorithm; (c) curvature sampling; (d) uniform grid method; (e) random sampling method
    Detail display of head area and tooth area. (a) Original model; (b) proposed algorithm; (c) curvature sampling; (d) uniform grid method; (e) random sampling method
    Results of bunny point cloud simplification. (a) Original model; (b) proposed algorithm; (c) curvature sampling; (d) uniform grid method; (e) random sampling method
    Child point cloud reduction results. (a) Original model; (b) proposed algorithm; (c) curvature sampling; (d) uniform grid method; (e) random sampling method
    Quality evaluation of skull point cloud simplified result
    Quality evaluation of bunny point cloud simplified result
    Quality evaluation of child point cloud simplified result
    • Table 1. Meshing parameters and results

      View table

      Table 1. Meshing parameters and results

      ModelNumber of original dataInitial grid sizeDensityFinal grid sizeGrid result points
      bunny359470.00320.020.000835898
      child325700.60.020.1532461
      skull200020.280.020.0719637
    • Table 2. Simplified parameters

      View table

      Table 2. Simplified parameters

      ModelProjectio planertpToppLow
      bunnyxy1310.40.1
      childyz1710.40.1
      skullxz940.30.25
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    Zihui Zhang, Yunlan Guan. Point-Cloud Data Reduction Based on Neighborhood-Point Position Feature[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1628005

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 20, 2022

    Accepted: Oct. 19, 2022

    Published Online: Aug. 18, 2023

    The Author Email: Guan Yunlan (ylguan@ecut.edu.cn)

    DOI:10.3788/LOP222112

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