• DocumentCode
    2224378
  • Title

    Geodesic distance evolution of surfaces: a new method for matching surfaces

  • Author

    Yahia, H.M. ; Huot, E.G. ; Herlin, I.L. ; Cohen, I.

  • Author_Institution
    Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    663
  • Abstract
    The general problem of surface matching is considered in this study. The process described in this work hinges on a geodesic distance equation for a family of surfaces embedded in the graph of a cost function. The cost function represents the geometrical matching criterion between the two 3D surfaces. This graph is a hypersurface in 4-dimensional space, and the theory presented herein is a generalization of the geodesic curve evolution method introduced by R. Kimmel et al. (1995). It also generalizes the 2D matching process developed in Cohen and Herlin (1998). An Eulerian level-set formulation of the geodesic surface evolution is also used, leading to a numerical scheme for solving partial differential equations originating from hyperbolic conservation laws, which has proven to be very robust and stable. The method is applied on examples showing both small and large deformations, and arbitrary topological changes
  • Keywords
    image matching; surface fitting; 2D matching; geodesic curve evolution; geodesic distance equation; geometrical matching; matching surfaces; surface matching; Application software; Computer graphics; Computer vision; Cost function; Geometry; Image representation; Intelligent robots; Intelligent systems; Partial differential equations; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
  • Conference_Location
    Hilton Head Island, SC
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0662-3
  • Type

    conf

  • DOI
    10.1109/CVPR.2000.855883
  • Filename
    855883