Li, B.Godil, A.Aono, M.Bai, X.Furuya, T.Li, L.López-Sastre, R.Johan, H.Ohbuchi, R.Redondo-Cabrera, C.Tatsuma, A.Yanagimachi, T.Zhang, S.M. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreira2013-09-242013-09-242012978-3-905674-36-11997-0463https://doi.org/10.2312/3DOR/3DOR12/119-126Generic 3D shape retrieval is a fundamental research area in the field of content-based 3D model retrieval. The aim of this track is to measure and compare the performance of generic 3D shape retrieval methods implemented by different participants over the world. The track is based on a new generic 3D shape benchmark, which contains 1200 triangle meshes that are equally classified into 60 categories. In this track, 16 runs have been submitted by 5 groups and their retrieval accuracies were evaluated using 7 commonly used performance metrics.Categories and Subject Descriptors (according to ACM CCS): H.3.3 [Computer Graphics]: Information Systems- Information Search and RetrievalSHREC'12 Track: Generic 3D Shape Retrieval