Lian, Z.Godil, A.Bustos, B.Daoudi, M.Hermans, J.Kawamura, S.Kurita, Y.Lavoué, G.Nguyen, H. V.Ohbuchi, R.Ohkita, Y.Ohishi, Y.Porikli, F.Reuter, M.Sipiran, I.Smeets, D.Suetens, P.Tabia, H.Vandermeulen, D.H. Laga and T. Schreck and A. Ferreira and A. Godil and I. Pratikakis and R. Veltkamp2013-04-252013-04-252011978-3-905674-31-61997-0463https://doi.org/10.2312/3DOR/3DOR11/079-088Non-rigid 3D shape retrieval has become an important research topic in content-based 3D object retrieval. The aim of this track is to measure and compare the performance of non-rigid 3D shape retrieval methods implemented by different participants around the world. The track is based on a new non-rigid 3D shape benchmark, which contains 600 watertight triangle meshes that are equally classified into 30 categories. In this track, 25 runs have been submitted by 9 groups and their retrieval accuracies were evaluated using 6 commonly-utilized measures.Categories and Subject Descriptors (according to ACM CCS): H.3.3 [Computer Graphics]: Information Systems- Information Search and Retrieval