• DocumentCode
    2317803
  • Title

    A distance for elastic matching in object recognition

  • Author

    Azencott, Robert ; Coldefy, Francois ; Younes, Laurent

  • Volume
    1
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    687
  • Abstract
    We define distances between geometric curves by the square root of the minimal energy required to transform one curve into the other. The energy is formally defined from a left invariant Riemannian distance on an infinite dimensional group acting on the curves, which can be explicitly computed. The obtained distance boils down to a variational problem for which an optimal matching between the curves has be computed. An analysis of the distance when the curves are polygonal leads to a numerical procedure for the solution of the variational problem, which can efficiently be implemented, as illustrated by experiments
  • Keywords
    computational geometry; computer vision; edge detection; image matching; object recognition; variational techniques; Riemannian distance; computer vision; elastic matching; geometric curves; image matching; infinite dimensional group; minimal energy; object recognition; variational problem; Computer vision; Costs; Laboratories; Object recognition; Optimal matching; Pattern recognition; Robustness; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546112
  • Filename
    546112