Skip to main navigation Skip to search Skip to main content

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
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

128 Scopus citations

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].

Original languageEnglish
Pages (from-to)57-80
Number of pages24
JournalComputer Vision and Image Understanding
Volume119
DOIs
StatePublished - Feb 2014
Externally publishedYes

Keywords

  • Benchmark
  • Evaluation
  • Large-scale
  • SHREC contest
  • Sketch-based 3D model retrieval

Fingerprint

Dive into the research topics of 'A comparison of methods for sketch-based 3D shape retrieval'. Together they form a unique fingerprint.

Cite this