期刊
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
卷 33, 期 5, 页码 1065-1071出版社
IEEE COMPUTER SOC
DOI: 10.1109/TPAMI.2010.210
关键词
Diffusion distance; commute time; spectral distance; eigenmap; Laplace-Beltrami operator; heat kernel; distribution; global point signature; nonrigid shapes; similarity
资金
- Office of Naval Research
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.
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