• DocumentCode
    393995
  • Title

    Geometric analysis of planar shapes using geodesic paths

  • Author

    Klassen, E. ; Srivastava, A.

  • Author_Institution
    Dept. of Math., Florida State Univ., Tallahassee, FL, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    3-6 Nov. 2002
  • Firstpage
    468
  • Abstract
    We propose a differential geometric representation of planar shapes using "direction" functions of their boundaries. Each shape becomes an element of a constrained function space, an infinite-dimensional manifold, and pairwise differences between are quantified using the lengths of geodesics connecting them on this space. A gradient-based shooting method is used for finding geodesics between any two shapes. Some applications of this shape metric are illustrated including clustering of objects based on their shapes and computation of intrinsic mean shapes.
  • Keywords
    differential geometry; gradient methods; image recognition; image representation; object recognition; direction functions; function space; geodesic paths; geometric analysis; geometric representation; gradient-based shooting method; infinite-dimensional manifold; intrinsic mean shapes; object clustering; planar shapes; shape metric; Extraterrestrial measurements; Geometry; Geophysics computing; Image recognition; Joining processes; Mathematical model; Mathematics; Shape; Statistical analysis; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-7576-9
  • Type

    conf

  • DOI
    10.1109/ACSSC.2002.1197226
  • Filename
    1197226