A comparison of methods for sketch-based 3D shape retrieval

  • Authors:
  • Bo Li;Yijuan Lu;Afzal Godil;Tobias Schreck;Benjamin Bustos;Alfredo Ferreira;Takahiko Furuya;Manuel J. Fonseca;Henry Johan;Takahiro Matsuda;Ryutarou Ohbuchi;Pedro B. Pascoal;Jose M. Saavedra

  • Affiliations:
  • -;-;-;-;-;-;-;-;-;-;-;-;-

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2014

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Abstract

Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. To foster this research area, two Shape Retrieval Contest (SHREC) tracks on this topic have been organized by us in 2012 and 2013 based on a small-scale and large-scale benchmarks, respectively. Six and five (nine in total) distinct sketch-based 3D shape retrieval methods have competed each other in these two contests, respectively. To measure and compare the performance of the top participating and other existing promising sketch-based 3D shape retrieval methods and solicit the state-of-the-art approaches, we perform a more comprehensive comparison of fifteen best (four top participating algorithms and eleven additional state-of-the-art methods) retrieval methods by completing the evaluation of each method on both benchmarks. The benchmarks, results, and evaluation tools for the two tracks are publicly available on our websites [1,2].