• Laser & Optoelectronics Progress
  • Vol. 58, Issue 16, 1610019 (2021)
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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    DOI: 10.3788/LOP202158.1610019 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Comparison of noise resistance of five algorithms
    Fig. 1. Comparison of noise resistance of five algorithms
    Surface distribution of three datasets. (a) Average curvature; (b) Gaussian curvature
    Fig. 2. 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
    Fig. 3. 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
    Fig. 4. 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
    Fig. 5. 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
    Fig. 6. 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
    Fig. 7. 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
    Fig. 8. Comparison on the Chair model. (a) Maximum grid area; (b) difference in reconstruction area
    ConditionH>0H=0H<0
    K>0PitNonePeak
    K=0ValleyFlatRidge
    K<0Saddle valleyMinimalSaddle valley
    Table 1. Classification of surface types
    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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