Journal
COMPUTER VISION AND IMAGE UNDERSTANDING
Volume 119, Issue -, Pages 57-80Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.cviu.2013.11.008
Keywords
Sketch-based 3D model retrieval; Evaluation; SHREC contest; Large-scale; Benchmark
Funding
- Army Research Office grant [W911NF-12-1-0057]
- Texas State University Research Enhancement Program (REP)
- NSF [CRI 1305302]
- Shape Metrology IMS
- Fondecyt (Chile) [1110111]
- FCT [Pest-OE/EEI/LA0021/2013]
- Fraunhofer IDM@NTU
- National Research Foundation (NRF)
- Grants-in-Aid for Scientific Research [23500117] Funding Source: KAKEN
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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 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.
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