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  4. A comparison of methods for sketch-based 3D shape retrieval
 
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2014
Journal Article
Title

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

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 method 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].
Author(s)
Li, Bo
Texas State University
Lu, Yijuan
Texas State University
Godil, Afzal
National Institute of Standards and Technology
Schreck, Tobias
Univ. Konstanz
Bustos, Benjamin
Univ. of Chile
Ferreira, Alfredo
Technical Univ. of Lisbon
Furuya, Takahiko
Univ. of Yamanashi
Fonseca, Manuel J.
Technical Univ. of Lisbon
Johan, Henry
Fraunhofer Research Centre for Interactive Digital Media IDM@NTU  
Matsuda, Takahiri
Univ. of Yamanashi
Ohbuchi, Ryutarou
Univ. of Yamanashi
Pascoal, Pedro B.
Technical Univ. of Lisbon
Saavedra, J.M.
Univ. of Chile & ORAND S.A.
Journal
Computer vision and image understanding : CVIU  
Funder
National Science Foundation NSF  
Open Access
DOI
10.1016/j.cviu.2013.11.008
Additional link
Full text
Language
English
IDM@NTU  
Keyword(s)
  • sketch based retrieval

  • 3D object retrieval

  • evaluation

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