Shape Recognition with Spectral Distances

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2011Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 33, pages 1,065-1,071 (issn: 0162-8828,

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Authors: Bronstein MM; Bronstein AM;

doi: 10.1109/tpami.2010.210

pmid: 21135442

Shape Recognition with Spectral Distances

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Abstract

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.

Related Organizations

Tel Aviv University
Israel
Universita della Svizzera Italiana
Switzerland

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