Shape Recognition with Spectral Distances
Michael M. Bronstein, Alexander M. Bronstein · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2010
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.