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

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

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Computer vision and image understanding : CVIU 119 (2014), S.57-80
ISSN: 1077-3142
National Science Foundation NSF
CRI 1305302
Englisch
Zeitschriftenaufsatz
Fraunhofer IDM@NTU ()
sketch based retrieval; 3D object retrieval; evaluation

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].

: http://publica.fraunhofer.de/dokumente/N-281960.html