Title of article :
A comparison of methods for sketch-based 3D shape retrieval
Author/Authors :
Li، نويسنده , , Bo and Lu، نويسنده , , Yijuan and Godil، نويسنده , , Afzal and Schreck، نويسنده , , Tobias and Bustos، نويسنده , , Benjamin and Ferreira، نويسنده , , Alfredo and Furuya، نويسنده , , Takahiko and Fonseca، نويسنده , , Manuel J. and Johan، نويسنده , , Henry and Matsuda، نويسنده , , Takahiro and Ohbuchi، نويسنده , , Ryutarou and Pascoal، نويسنده , , Pedro B. and Saavedra، نويسنده , , Jose M.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
24
From page :
57
To page :
80
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].
Keywords :
Sketch-based 3D model retrieval , evaluation , Large-scale , Benchmark , SHREC contest
Journal title :
Computer Vision and Image Understanding
Serial Year :
2014
Journal title :
Computer Vision and Image Understanding
Record number :
1697107
Link To Document :
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