T. P. Vanamali, A. Godil, H. Dutagaci, T. Furuya, Z. Lian, and R. Ohbuchi
In this paper we present the results of the 3D Shape Retrieval Contest 2010 (SHREC10) track Generic 3D Warehouse. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on a large Generic benchmark based on the Google 3D Warehouse. We hope that the benchmark developed at NIST will provide valuable contributions to the 3D shape retrieval community. Three groups have participated in the track and they have submitted 7 set of results based on different methods and parameters. We also ran two standard algorithms on the track dataset. The performance evaluation of this track is based on six different metrics.
Categories and SubjectDescriptors (according to ACMCCS): I.5.4 [Pattern Recognition]: ComputerVision,H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval