Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling

@inproceedings{Bronstein2006MatchingTA,
  title={Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling},
  author={Alexander M. Bronstein and Michael M. Bronstein and Alfred M. Bruckstein and Ron Kimmel},
  booktitle={AMDO},
  year={2006}
}
We present a theoretical and computational framework for matching of two-dimensional articulated shapes. Assuming that articulations can be modeled as near-isometries, we show an axiomatic construction of an articulation-invariant distance between shapes, formulated as a generalized multidimensional scaling (GMDS) problem and solved efficiently. Some numerical results demonstrating the accuracy of our method are presented. 
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