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Updated: Jun 6, 2026

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
Published on: June 18, 2021
Shape recognition with spectral distances
Michael M Bronstein1, Alexander M Bronstein
1Institute of Computational Science, Faculty of Informatics, Università della Svizzera Italiana, Lugano 6900, Switzerland. michael.bronstein@usi.ch
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.
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