SHREC'12 track: generic 3D shape retrieval

  • Authors:
  • B. Li;A. Godil;M. Aono;X. Bai;T. Furuya;L. Li;R. López-Sastre;H. Johan;R. Ohbuchi;C. Redondo-Cabrera;A. Tatsuma;T. Yanagimachi;S. Zhang

  • Affiliations:
  • National Institute of Standards and Technology, Gaithersburg and School of Computer Engineering, Nanyang Technological University, Singapore;National Institute of Standards and Technology, Gaithersburg;Toyohashi University of Technology, Japan;Northwestern Polytechnical University, Xi'an, China;Nisca Corp., Yamanashi, Japan;Northwestern Polytechnical University, Xi'an, China;Department of Signal Theory and Communications, University of Alcalá, Spain;School of Computer Engineering, Nanyang Technological University, Singapore;University of Yamanashi, Yamanashi, Japan;Department of Signal Theory and Communications, University of Alcalá, Spain;Toyohashi University of Technology, Japan;University of Yamanashi, Yamanashi, Japan;Northwestern Polytechnical University, Xi'an, China

  • Venue:
  • EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
  • Year:
  • 2012

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Abstract

Generic 3D shape retrieval is a fundamental research area in the field of content-based 3D model retrieval. The aim of this track is to measure and compare the performance of generic 3D shape retrieval methods implemented by different participants over the world. The track is based on a new generic 3D shape benchmark, which contains 1200 triangle meshes that are equally classified into 60 categories. In this track, 16 runs have been submitted by 5 groups and their retrieval accuracies were evaluated using 7 commonly used performance metrics.