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

被引:82
|
作者
Li, Bo [1 ,2 ]
Lu, Yijuan [1 ]
Godil, Afzal [2 ]
Schreck, Tobias
Bustos, Benjamin [3 ]
Ferreira, Alfredo [4 ]
Furuya, Takahiko [5 ]
Fonseca, Manuel J. [4 ]
Johan, Henry [6 ]
Matsuda, Takahiro [5 ]
Ohbuchi, Ryutarou [5 ]
Pascoal, Pedro B. [4 ]
Saavedra, Jose M. [3 ,7 ]
机构
[1] Texas State Univ, Dept Comp Sci, San Marcos, TX 78666 USA
[2] Natl Inst Stand & Technol, Informat Technol Lab, Gaithersburg, MD 20899 USA
[3] Univ Chile, Santiago, Chile
[4] Univ Tecn Lisboa, INESCID, Inst Super Tecn, Lisbon, Portugal
[5] Univ Yamanashi, Comp Sci & Engn Dept, Yamanashi, Japan
[6] Fraunhofer IDM NTU, Visual Comp, Singapore, Singapore
[7] Comp Vis Res Grp ORAND SA, Santiago, Chile
基金
新加坡国家研究基金会;
关键词
Sketch-based 3D model retrieval; Evaluation; SHREC contest; Large-scale; Benchmark; NAME AGREEMENT; IMAGE AGREEMENT; VISUAL COMPLEXITY; MODEL RETRIEVAL; FAMILIARITY; PICTURES; NORMS; SET; LINES; RECOGNITION;
D O I
10.1016/j.cviu.2013.11.008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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]. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:57 / 80
页数:24
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