• DocumentCode
    1566294
  • Title

    Symmetric Shape Completion Under Severe Occlusions

  • Author

    Venkatesh, M.V. ; Cheung, S.S.

  • Author_Institution
    Center for Visualization & Virtual Environ., Kentucky Univ., Lexington, KY, USA
  • fYear
    2006
  • Firstpage
    709
  • Lastpage
    712
  • Abstract
    In this paper, we propose a novel algorithm for completing rotationally symmetrical shapes under severe occlusions. The intuitive idea is to use the existing contour, under a carefully estimated similarity transform, to fill in the missing portion of a symmetric object due to occlusions. Our algorithm exploits the invariant nature of the curvature under similarity transform and the periodicity of the curvature of a symmetric object contour. To arrive at the appropriate transform, we first estimate the fundamental period in the curvature. We use the fundamental period and the harmonic components to estimate the fundamental angle of rotation and the centroid of the unoccluded shape, which in turn establish different modes of symmetry. By following each mode of symmetry we compute the corresponding transform and select the ones that best complete the missing portion of the contour.
  • Keywords
    image reconstruction; object detection; transforms; fundamental angle estimation; harmonic component; occlusion; shape completion; similarity transform; symmetric object contour; Application software; Computer vision; Data visualization; Image analysis; Image reconstruction; Interpolation; Machine vision; Object recognition; Shape measurement; Virtual environment; Image shape analysis; Interpolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312439
  • Filename
    4106628