Photometric heat kernel signatures

Authors:
Artiom Kovnatsky;Michael M. Bronstein;Alexander M. Bronstein;Ron Kimmel
Affiliations:
Department of Applied Mathematics, Technion, Israel Institute of Technology, Haifa, Israel;Inst. of Computational Science, Faculty of Informatics, Università della Svizzera Italiana, Lugano, Switzerland;Dept. of Electrical Engineering, Tel Aviv University, Israel;Department of Computer Science, Technion, Israel Institute of Technology, Haifa, Israel
Venue:
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Year:
2011

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Abstract

In this paper, we explore the use of the diffusion geometry framework for the fusion of geometric and photometric information in local heat kernel signature shape descriptors. Our construction is based on the definition of a diffusion process on the shape manifold embedded into a high-dimensional space where the embedding coordinates represent the photometric information. Experimental results show that such data fusion is useful in coping with different challenges of shape analysis where pure geometric and pure photometric methods fail.