Journal article
Shape recognition with spectral distances.
- Bronstein MM Institute of Computational Science, Faculty of Informatics, Università della Svizzera Italiana, Lugano 6900, Switzerland. michael.bronstein@usi.ch
- Bronstein AM
- 2010-12-08
Published in:
- IEEE transactions on pattern analysis and machine intelligence. - 2011
English
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.
- Language
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- English
- Open access status
- closed
- Identifiers
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- DOI 10.1109/TPAMI.2010.210
- PMID 21135442
- Persistent URL
- https://sonar.ch/global/documents/177396
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