SHREC'10 track: correspondence finding

Authors:
A. M. Bronstein;M. M. Bronstein;U. Castellani;A. Dubrovina;L. J. Guibas;R. P. Horaud;R. Kimmel;D. Knossow;E. Von Lavante;D. Mateus;M. Ovsjanikov;A. Sharma
Affiliations:
Department of Computer Science, Technion-Israel Institute of Technology;Department of Computer Science, Technion-Israel Institute of Technology;Department of Computer Science, University of Verona;Department of Electrical Engineering, Technion-Israel Institute of Technology;Department of Computer Science, Stanford University;INRIA Grenoble Rhône-Alpes;-;INRIA Grenoble Rhône-Alpes;INRIA Grenoble Rhône-Alpes;INRIA Grenoble Rhône-Alpes;Institute for Computational and Mathematical Engineering, Stanford University;INRIA Grenoble Rhône-Alpes
Venue:
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
Year:
2010

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Abstract

The SHREC'10 correspondence finding benchmark simulates a one-to-one shape matching scenario, in which one of the shapes undergoes multiple modifications and transformations. The benchmark allows evaluating how correspondence algorithms cope with certain classes of transformations and what is the strength of the transformations that can be dealt with. The present paper is a report of the 3D Shape Retrieval Contest 2010 (SHREC'10) correspondence finding benchmark results.