Affine invariant shape matching using radon transform and dynamic time warping distance

  • Authors:
  • Makoto Hasegawa;Salvatore Tabbone

  • Affiliations:
  • LORIA, Université Nancy, Vandoeuvre-lès-Nancy, France;LORIA, Université Nancy, Vandoeuvre-lès-Nancy, France

  • Venue:
  • Proceedings of the 27th Annual ACM Symposium on Applied Computing
  • Year:
  • 2012

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Abstract

An affine invariant shape matching method using the Radon transform and the dynamic time warping distance is proposed. Our descriptor based on the Radon transform is robust to shapes rotation, uniform scaling, and translation. For non-uniform scaling and shearing, our descriptor has a non-linear sparse and dense distortion relative to the angle coordinates. Therefore, we apply the dynamic time warping to be robust to these transformations. Our performances are better for any affine transformations than the conventional other methods.