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

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
Original languageEnglish
Pages (from-to)57-80
JournalComputer Vision and Image Understanding
Volume119
DOIs
Publication statusPublished - 2014
Externally publishedYes

Fields of Expertise

  • Sonstiges

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