• DocumentCode
    327804
  • Title

    Testing for convexity with Fourier descriptors

  • Author

    Kakarala, Ramakrishna

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    792
  • Abstract
    A shape with a twice-differentiable boundary is convex if and only if the boundary has nonnegative curvature everywhere. We show how to formulate this condition equivalently in terms of the Fourier descriptors of the boundary: The shape is convex if and only if the boundary has a nonnegative definite “parametric” curvature spectrum (defined herein)
  • Keywords
    Fourier analysis; image processing; Fourier descriptors; convexity testing; nonnegative curvature; nonnegative definite parametric curvature spectrum; twice-differentiable boundary; Counting circuits; Fourier series; Geometry; Joining processes; Marine vehicles; Shape; Tellurium; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711266
  • Filename
    711266