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, and A. Sharma
The SHREC10 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 (SHREC10) correspondence finding benchmark results.
Categories and Subject Descriptors (according to ACM CCS): H.3.2 [Information storage and retrieval]: Information Search and RetrievalRetrieval models I.2.10 [Artificial intelligence]: Vision and Scene UnderstandingShape