Lian, ZhouhuiGodil, AfzalBustos, BenjaminDaoudi, MohamedHermans, JeroenKawamura, ShunKurita, YukinoriLavoue, GuillaumeNguyen, Hien VanOhbuchi, RyutarouOhkita, YukiOhishi, YuyaPorikli, FatihReuter, MartinSipiran, IvanSmeets, DirkSuetens, PaulTabia, HediVandermeulen, Dirk2015-12-080031-3203http://hdl.handle.net/1885/34824Non-rigid 3D shape retrieval has become an active and important research topic in content-based 3D object retrieval. The aim of this paper is to measure and compare the performance of state-of-the-art methods for non-rigid 3D shape retrieval. The paper develops a new benchmark consisting of 600 non-rigid 3D watertight meshes, which are equally classified into 30 categories, to carry out experiments for 11 different algorithms, whose retrieval accuracies are evaluated using six commonly utilized measures. Models and evaluation tools of the new benchmark are publicly available on our web site [1].Keywords: 3D object retrieval; 3D shape retrieval; Benchmark; Comparison of methods; Content-based; Evaluation tool; Non-rigid; Research topics; Retrieval accuracy; State-of-the-art methods; Pattern recognition; Software engineering; Three dimensional 3D shape retrieval; Benchmark; Non-rigid201310.1016/j.patcog.2012.07.0142016-02-24