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

  • 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
  • *Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

127 Citas (Scopus)

Resumen

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].

Idioma originalInglés
Páginas (desde-hasta)57-80
Número de páginas24
PublicaciónComputer Vision and Image Understanding
Volumen119
DOI
EstadoPublicada - feb. 2014
Publicado de forma externa

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