Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1610019(2021)

Scattered Point Cloud Simplification Algorithm Based on Adaptive Neighborhood and Local Contribution Value

Rudan Zheng, Jinlong Li*, Yu Zhang, and Xiaorong Gao
Author Affiliations
  • School of Physical Science and Technology, Southwest Jiaotong University, Chengdu, Sichuan 611756, China
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    Figures & Tables(9)
    Comparison of noise resistance of five algorithms
    Surface distribution of three datasets. (a) Average curvature; (b) Gaussian curvature
    Bunny model and reconstruction results. (a) Original point cloud; (b) original point cloud reconstruction; (c) simplification result of the proposed algorithm with 90% simplification rate; (d) reconstruction of simplification result of the proposed algorithm with 90% simplification rate
    Comparison on the Bunny model. (a) Standard deviation of error; (b) maximum grid area; (c) difference in reconstruction area
    Armadillo model and reconstruction results. (a) Original point cloud; (b) original point cloud reconstruction; (c) simplification result of the proposed algorithm with 90% simplification rate; (d) reconstruction of simplification result of the proposed algorithm with 90% simplification rate
    Comparison on the Armadillo model . (a) Standard deviation of error; (b) maximum grid area; (c) difference in reconstruction area
    Chair model and reconstruction results. (a) Original point cloud; (b) original point cloud reconstruction; (c) simplification result of the proposed algorithm with 90% simplification rate; (d) reconstruction of simplification result of the proposed algorithm with 90% simplification rate
    Comparison on the Chair model. (a) Maximum grid area; (b) difference in reconstruction area
    • Table 1. Classification of surface types

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      Table 1. Classification of surface types

      ConditionH>0H=0H<0
      K>0PitNonePeak
      K=0ValleyFlatRidge
      K<0Saddle valleyMinimalSaddle valley
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    Rudan Zheng, Jinlong Li, Yu Zhang, Xiaorong Gao. Scattered Point Cloud Simplification Algorithm Based on Adaptive Neighborhood and Local Contribution Value[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610019

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    Paper Information

    Category: Image Processing

    Received: Aug. 24, 2020

    Accepted: Sep. 30, 2020

    Published Online: Aug. 16, 2021

    The Author Email: Jinlong Li (jinlong_lee@126.com)

    DOI:10.3788/LOP202158.1610019

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