• DocumentCode
    2769979
  • Title

    Curves matching using geodesic paths

  • Author

    Cohen, Isaac ; Herlin, Isabelle

  • Author_Institution
    Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1998
  • fDate
    23-25 Jun 1998
  • Firstpage
    741
  • Lastpage
    746
  • Abstract
    We present a method for matching curves which accommodates large and small deformation. The method preserves geometric similarities in the case of small deformation, and loosens these geometric constraints when large deformations occur. The approach is based on the computation of a set of geodesic paths connecting the curves. These two curves are defined as a source area and a destination area which can have an arbitrary number of connected components and different topologies. The applicative framework of the presented method is the study of the crustal deformation from a set of iso-elevation curves. An experiment with real curves demonstrates that the approach can be successfully applied to characterize deformation of Digital Elevation Models
  • Keywords
    computational geometry; curve fitting; differential geometry; motion estimation; curves matching; deformation; destination area; digital elevation models; geodesic paths; geometric constraints; geometric similarities; Digital elevation models; Earth; Geophysics computing; Image sequences; Intelligent robots; Intelligent systems; Joining processes; Motion analysis; Remote monitoring; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
  • Conference_Location
    Santa Barbara, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-8497-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1998.698686
  • Filename
    698686