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Shape Recognition with Spectral Distances

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2 Author(s)
Bronstein, M.M. ; Fac. of Inf., Univ. delta Svizzera Italiana, Lugano, Switzerland ; Bronstein, A.M.

Recent works have shown the use of diffusion geometry for various pattern recognition applications, including nonrigid shape analysis. In this paper, we introduce spectral shape distance as a general framework for distribution-based shape similarity and show that two recent methods for shape similarity due to Rustamov and Mahmoudi and Sapiro are particular cases thereof.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:33 ,  Issue: 5 )

Date of Publication:

May 2011

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