• DocumentCode
    3111197
  • Title

    Point cloud segmentation using gradient vector flow snake

  • Author

    Liu, Shoubin ; Ye, Yingsong

  • Author_Institution
    Shenzhen Grad. Sch., Harbin Inst. of Technol., Harbin, China
  • fYear
    2011
  • fDate
    26-28 March 2011
  • Firstpage
    1114
  • Lastpage
    1118
  • Abstract
    This paper presents a new method for extracting point cloud of useful main surface from 3D point cloud of an existing product or part. The 3D point cloud is sliced into 2D point cloud at different slices. For each slice, gradient vector flow (GVF) is generated. An active contour or snake is applied to capture the point cloud belonging to main surface. Points belonging to mini-structures or mini-features are repaired. Experimental results demonstrate the robustness and the effectiveness of the proposed algorithm.
  • Keywords
    edge detection; image segmentation; solid modelling; 2D point cloud; 3D point cloud; active contour; gradient vector flow snake; minifeatures; ministructures; point cloud segmentation; Computers; Convergence; Design automation; Force; Image edge detection; Pixel; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9440-8
  • Type

    conf

  • DOI
    10.1109/ICIST.2011.5765166
  • Filename
    5765166