SHREC'11 track: 3D face models retrieval

  • Authors:
  • R. C. Veltkamp;S. Van Jole;H. Drira;B. Ben Amor;M. Daoudi;H. Li;L. Chen;P. Claes;D. Smeets;J. Hermans;D. Vandermeulen;P. Suetens

  • Affiliations:
  • Utrecht University, Department Computer Science, The Netherlands;Utrecht University, Department Computer Science, The Netherlands;University of Lille1 and LIFL, UMR, CNRS;LIFL, UMR, CNRS and Institut TELECOM, TELECOM Lille 1, France;LIFL, UMR, CNRS and Institut TELECOM, TELECOM Lille 1, France;Ecole Centrale de Lyon, LIRIS, UMR, Lyon, France;Ecole Centrale de Lyon, LIRIS, UMR, Lyon, France;K. U. Leuven, Department of Electrical Engineering, Leuven, Belgium;K. U. Leuven, Department of Electrical Engineering, Leuven, Belgium;K. U. Leuven, Department of Electrical Engineering, Leuven, Belgium;K. U. Leuven, Department of Electrical Engineering, Leuven, Belgium;K. U. Leuven, Department of Electrical Engineering, Leuven, Belgium

  • Venue:
  • EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
  • Year:
  • 2011

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Abstract

In this paper we present the results of the 3D Shape Retrieval Contest 2011 (SHREC'11) track on face model retrieval. The aim of this track is to evaluate the performance of 3D shape retrieval algorithms that can operate on 3D face models. The benchmark dataset consists of 780 3D face scans of 130 individuals. Four groups have participated in the track with 14 method variations in total.