• DocumentCode
    2469370
  • Title

    Fingerprint theorems for curvature and torsion zero-crossings

  • Author

    Mokhtarian, Farzin

  • Author_Institution
    Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
  • fYear
    1989
  • fDate
    4-8 Jun 1989
  • Firstpage
    269
  • Lastpage
    275
  • Abstract
    It has been shown by A.L. Yuille and T. Poggio (1983) that the scale-space image of a signal determines that signal uniquely up to constant scaling. Here, generalization of the proof given by Yuille and Poggio is presented. It is shown that the curvature scale-space image of a planar curvature determines the curvature uniquely, up to constant scaling and a rigid motion. The results show that a 1-D signal can be reconstructed using only one point from its scale-space image. This is an improvement of the result obtained by Yuille and Poggio
  • Keywords
    pattern recognition; picture processing; Poggio; Yuille; constant scaling; curvature; fingerprint theorems; pattern recognition; picture processing; rigid motion; scale-space image; zero-crossings; Computer science; Filters; Fingerprint recognition; Image reconstruction; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-1952-x
  • Type

    conf

  • DOI
    10.1109/CVPR.1989.37860
  • Filename
    37860