Matching two-dimensional articulated shapes using generalized multidimensional scaling

  • Authors:
  • Alexander M. Bronstein;Michael M. Bronstein;Alfred M. Bruckstein;Ron Kimmel

  • Affiliations:
  • Department of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel;Department of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel;Department of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel;Department of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel

  • Venue:
  • AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
  • Year:
  • 2006

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Abstract

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