Laser & Optoelectronics Progress, Volume. 56, Issue 9, 091403(2019)

Method for Extraction of Feature Lines of Three-Dimensional Laser Point Cloud Based on Gaussian Map

Weiqing Xu*, Xijiang Chen, Guang Zhang, and Qiaoqiao Yuan
Author Affiliations
  • School of Resources and Environmental Engineering Wuhan University of Technology, Wuhan, Hubei 430000, China
  • show less
    Figures & Tables(8)
    Flow chart of algorithm
    Recursive process of Kd-tree
    Gauss map of surface ∑
    Neighborhood normal vector projection of certain target point
    Distribution law of Guassian map points. (a) Point clustering; (b) linear clustering; (c) surface clustering
    Extraction effect comparison of feature lines of regular point clouds by different algorithms. (a) Simplified point cloud; (b) proposed algorithm; (c) method in Ref. [9]; (d) method in Ref. [10]
    Extraction effect comparison of feature lines of irregular point clouds by different algorithms. (a) Simplified point cloud; (b) proposed algorithm; (c) method in Ref. [9]; (d) method in Ref. [10]
    • Table 1. Feature point extraction and running time of feature points of sculpture model in Fig. 7

      View table

      Table 1. Feature point extraction and running time of feature points of sculpture model in Fig. 7

      Sculpture pointcloud modelOriginal pointnumberFeaturepoint numberRunningtime /s
      Proposedalgorithm48238685510
      Method inRef. [9]48238609925
      Method inRef. [10]48238623619
    Tools

    Get Citation

    Copy Citation Text

    Weiqing Xu, Xijiang Chen, Guang Zhang, Qiaoqiao Yuan. Method for Extraction of Feature Lines of Three-Dimensional Laser Point Cloud Based on Gaussian Map[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091403

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Lasers and Laser Optics

    Received: Sep. 14, 2018

    Accepted: Nov. 27, 2018

    Published Online: Jul. 5, 2019

    The Author Email: Xu Weiqing (kindleweiqing@163.com)

    DOI:10.3788/LOP56.091403

    Topics