sign in
english version rss feed

inria-00590276, version 1

Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes

Amit Hooda 1, Michael Bronstein () a2, Alexander Bronstein 3, Radu Horaud () b45

3rd International Conference on Scale Space and Variational Methods in Computer Vision (SSVM '11) (2011)

Abstract: Analysis of intrinsic symmetries of non-rigid and articulated shapes is an important problem in pattern recognition with numerous applications ranging from medicine to computational aesthetics. Considering articulated planar shapes as closed curves, we show how to represent their extrinsic and intrinsic symmetries as self-similarities of local descriptor sequences, which in turn have simple interpretation in the frequency domain. The problem of symmetry detection and analysis thus boils down to analysis of descriptor sequence patterns. For that purpose, we show two efficient computational methods: one based on Fourier analysis, and another on dynamic programming. Metaphorically, the later can be compared to finding palindromes in text sequences.

  • Domain : Computer Science/Computer Graphics and Virtual Reality
 
  • inria-00590276, version 1
  • oai:hal.inria.fr:inria-00590276
  • From: 
  • Submitted for: 
  • Submitted on: Tuesday, 3 May 2011 09:54:34
  • Updated on: Friday, 13 May 2011 15:51:24
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...
all articles on CCSd database...