Laser & Optoelectronics Progress, Volume. 57, Issue 2, 21102(2020)

Improved Three-Dimensional Reconstruction Algorithm for Point Cloud Data

Pang Zhengya1, Zhou Zhifeng1、*, Wang Liduan2, and Ye Juelei1
Author Affiliations
  • 1School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
  • 2Shanghai Compass Satellite Navigation Technology Co., Ltd., Shanghai 201801, China
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    Figures & Tables(12)
    Point cloud reconstruction process
    Implementation process of statistical filter
    Point cloud state division and regional growth diagram
    Zone growth pseudocode
    Analysis on time complexities of three algorithms
    Dragon reconstruction based on three algorithms. (a) Based on proposed algorithm; (b) based on Delaunay algorithm; (c) based on Poisson algorithm
    Bunny point cluster reconstruction
    Horse point cluster reconstruction
    Construction point cluster reconstruction
    Table point cluster reconstruction
    • Table 1. Comparison of number of point clouds before and after denoising of different point clouds

      View table

      Table 1. Comparison of number of point clouds before and after denoising of different point clouds

      Point cloudBunnyHorseConstructionDragonTable
      Original point cloud359474845893039437645460400
      Point cloud after denoising310184197781512376584451410
    • Table 2. Comparison of reconstruction time of different point cloudss

      View table

      Table 2. Comparison of reconstruction time of different point cloudss

      AlgorithmBunnyHorseConstructionDragonTable
      Poisson algorithm26511187391027
      Delaunay algorithm1.92.55.919.520.4
      Proposed algorithm5.26.714.371.161.5
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    Pang Zhengya, Zhou Zhifeng, Wang Liduan, Ye Juelei. Improved Three-Dimensional Reconstruction Algorithm for Point Cloud Data[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21102

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    Paper Information

    Category: Imaging Systems

    Received: May. 15, 2019

    Accepted: --

    Published Online: Jan. 3, 2020

    The Author Email: Zhou Zhifeng (zhousjtu@126.com)

    DOI:10.3788/LOP57.021102

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