On a relation between shape recognition algorithms based on distributions of distances
نویسندگان
چکیده
Recent works have shown the use of diffusion geometry for various pattern recognition applications, including non-rigid shape analysis. In this paper, we analyze two recent methods for shape similarity due to Rustamov and Mahmoudi & Sapiro. We show the relations between the methods and propose a new shape similarity criterion combining the advantages of both methods.
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