Abstract | ||
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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]. |
Year | DOI | Venue |
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2014 | 10.1016/j.cviu.2013.11.008 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
object retrieval,state-of-the-art approach,important research topic,shape retrieval,evaluation tool,research area,large-scale benchmarks,retrieval method,eleven additional state-of-the-art method,shape retrieval method,evaluation,benchmark | Information retrieval,Computer science,CONTEST,Sketch | Journal |
Volume | Issue | ISSN |
119, | 1 | 1077-3142 |
Citations | PageRank | References |
37 | 1.01 | 58 |
Authors | ||
13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bo Li | 1 | 257 | 15.09 |
Yijuan Lu | 2 | 732 | 46.24 |
Afzal Godil | 3 | 619 | 30.70 |
Tobias Schreck | 4 | 1854 | 123.28 |
Benjamin Bustos | 5 | 1356 | 67.78 |
Alfredo Ferreira | 6 | 172 | 18.40 |
Takahiko Furuya | 7 | 411 | 21.02 |
Manuel J. Fonseca | 8 | 293 | 22.53 |
Henry Johan | 9 | 355 | 29.36 |
Takahiro Matsuda | 10 | 343 | 42.05 |
R. Ohbuchi | 11 | 1710 | 170.54 |
Pedro B. Pascoal | 12 | 38 | 3.11 |
Jose M. Saavedra | 13 | 109 | 4.52 |