Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling

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.

• Type: Conference
• Year: 2006
• Where: AMDO
• Authors: Alexander M. Bronstein, Michael M. Bronstein, Alfred M. Bruckstein, Ron Kimmel
• Keywords: AMDO 2006, Computational Framework, Computer Graphics, Generalized Multidimensional Scaling, Two-dimensional Articulated Shapes