Symmetric shape completion under severe occlusions

M. Vijay Venkatesh, Sen Ching S. Cheung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations


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.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Number of pages4
StatePublished - 2006
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: Oct 8 2006Oct 11 2006

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Conference2006 IEEE International Conference on Image Processing, ICIP 2006
Country/TerritoryUnited States
CityAtlanta, GA


  • Image shape analysis
  • Interpolation

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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