SHREC '11 Track Shape Retrieval on Non-rigid 3D Watertight….pdf

Eurographics Workshop on 3D Object Retrieval (2011) H. Laga, T. Schreck, A. Ferreira, A. Godil, and I. Pratikakis (Editors) SHREC’11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes Z. Lian 1,2, A. Godil 1, B. Bustos 3, M. Daoudi 4, J. Hermans 5, S. Kawamura 6, Y. Kurita 6, G. Lavoué 7, . Nguyen 8, R. Ohbuchi 6, Y. Ohkita 6, Y. Ohishi 6, F. Porikli 9, M. Reuter 10, I. Sipiran 3, D. Smeets 5, P. Suetens 5, H. Tabia 11, D. Vandermeulen 5 1National Institute of Standards and Technology, Gaithersburg, USA 2Beihang University, Beijing, PR China, 3University of Chile, Chile, 4Institut , France 5Katholieke Universiteit Leuven, Belgium, 6University of Yamanashi, Japan, 7Insa of Lyon, France 8University of Maryland, College Park, USA, 9Mitsubishi Electric Research Laboratories, Cambridge, USA 10Martinos Center for Biomedical Imaging, Massachusetts General Hospital / Harvard Medical / MIT, USA, 11University Lille 1, France Abstract Non-rigid 3D shape retrieval has e an important research topic in content-based 3D object retrieval. The aim of this track is to measure pare 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 classi?ed into 30 categories. In this track, 25 runs have been submitted by 9