SHREC'10 track: robust shape retrieval

  • Authors:
  • A. M. Bronstein;M. M. Bronstein;U. Castellani;B. Falcidieno;A. Fusiello;A. Godil;L. J. Guibas;I. Kokkinos;Z. Lian;M. Ovsjanikov;G. Patané;M. Spagnuolo;R. Toldo

  • Affiliations:
  • Department of Computer Science, Technion-Israel Institute of Technology;Department of Computer Science, Technion-Israel Institute of Technology;Department of Computer Science, University of Verona;CNR-IMATI Genova;Department of Computer Science, University of Verona;National Institute of Standards and Technology;Department of Computer Science, Stanford University;Deparment of Applied Mathematics, École Centrale de Paris;National Institute of Standards and Technology and Beihang University;Institute for Computational and Mathematical Engineering, Stanford University;CNR-IMATI Genova;CNR-IMATI Genova;Department of Computer Science, University of Verona

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

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Abstract

The 3D Shape Retrieval Contest 2010 (SHREC'10) robust shape retrieval benchmark simulates a retrieval scenario, in which the queries include multiple modifications and transformations of the same shape. The benchmark allows evaluating how algorithms cope with certain classes of transformations and what is the strength of the transformations that can be dealt with. The present paper is a report of the SHREC'10 robust shape retrieval benchmark results.