• DocumentCode
    2958007
  • Title

    Multiscale, curvature-based shape representation for surfaces

  • Author

    Jiang, Ruirui ; Gu, Xianfeng

  • Author_Institution
    Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
  • fYear
    2011
  • fDate
    6-13 Nov. 2011
  • Firstpage
    1887
  • Lastpage
    1894
  • Abstract
    This paper presents a multiscale, curvature-based shape representation technique for general genus zero closed surfaces. The method is invariant under rotation, translation, scaling, or general isometric deformations; it is robust to noise and preserves intrinsic symmetry. The method is a direct generalization of the Curvature Scale Space (CSS) shape descriptor for planar curves. In our method, the Riemannian metric of the surface is deformed under Ricci flow, such that the Gaussian curvature evolves according to a heat diffusion process. Eventually the surface becomes a sphere with constant positive curvature everywhere. The evolution of zero curvature curves on the surface is utilized as the shape descriptor. Our experimental results on a 3D geometric database with about 80 shapes demonstrate the efficiency and efficacy of the method.
  • Keywords
    curve fitting; image representation; shape recognition; 3D geometric database; Gaussian curvature; Ricci flow; Riemannian metric; constant positive curvature; curvature curves; curvature scale space; curvature-based shape representation; general genus zero closed surface; general isometric deformation; heat diffusion process; intrinsic symmetry; planar curves; shape descriptor; Cascading style sheets; Heating; Measurement; Noise; Shape; Surface treatment; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2011 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1550-5499
  • Print_ISBN
    978-1-4577-1101-5
  • Type

    conf

  • DOI
    10.1109/ICCV.2011.6126457
  • Filename
    6126457