• DocumentCode
    2059166
  • Title

    Surface Mesh Segmentation Using Local Geometry

  • Author

    Chuon, Chansophea ; Guha, Sumanta

  • Author_Institution
    Comput. Sci. & Inf. Manage., Asian Inst. of Technol., Pathumthani, Thailand
  • fYear
    2009
  • fDate
    11-14 Aug. 2009
  • Firstpage
    250
  • Lastpage
    254
  • Abstract
    We present a novel algorithm to segment a 3D surface mesh into visually meaningful regions. Our approach is based on an analysis of the local geometry of vertices. In particular, we begin with a novel characterization of vertices as convex, concave or hyperbolic based upon their discrete local geometry. Hyperbolic and concave vertices are considered potential feature region boundaries. We propose a new region growing technique starting from these boundary vertices leading to a segmentation of the surface that is subsequently simplified by a region-merging method. Experiments indicate that our algorithm segments a broad range of 3D models at a quality comparable to existing algorithms. Its use of methods that belong naturally to discretized surfaces and ease of implementation make it an appealing alternative in various applications.
  • Keywords
    computational geometry; image segmentation; mesh generation; solid modelling; 3D models; 3D surface mesh segmentation; boundary vertices; concave vertices; convex vertices; discretized surfaces; hyperbolic vertices; local geometry; region growing technique; region-merging method; Application software; Computational geometry; Computer graphics; Computer science; Data mining; Image segmentation; Information geometry; Information management; Merging; Visualization; Feature extraction; hyperbolic vertex; local geometry; mesh segmentation; region growing; region merging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Imaging and Visualization, 2009. CGIV '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3789-4
  • Type

    conf

  • DOI
    10.1109/CGIV.2009.15
  • Filename
    5298883