SHREC'10 track: non-rigid 3D shape retrieval

  • Authors:
  • Z. Lian;A. Godil;T. Fabry;T. Furuya;J. Hermans;R. Ohbuchi;C. Shu;D. Smeets;P. Suetens;D. Vandermeulen;S. Wuhrer

  • Affiliations:
  • National Institute of Standards and Technology, Gaithersburg and Beihang University, Beijing, PR China;National Institute of Standards and Technology, Gaithersburg;Katholieke Universiteit Leuven, Belgium;University of Yamanashi, Japan;Katholieke Universiteit Leuven, Belgium;University of Yamanashi, Japan;National Research Council, Canada;Katholieke Universiteit Leuven, Belgium;Katholieke Universiteit Leuven, Belgium;Katholieke Universiteit Leuven, Belgium;National Research Council, Canada

  • Venue:
  • EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
  • Year:
  • 2010

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Abstract

Non-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval. The aim of the 3D Shape Retrieval Contest 2010 (SHREC'10) track on non-rigid 3D shape retrieval is to evaluate and compare the effectiveness of different methods run on a non-rigid 3D shape benchmark consisting of 200 watertight triangular meshes. Three groups with six methods have participated in this track and the retrieval performance was evaluated using six commonly-used metrics.