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

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Author(s): Afzal A. Godil;
Title: A comparison of methods for sketch-based 3D shape retrieval
Published: December 13, 2013
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] and [2].
Citation: Computer Vision and Image Understanding
Volume: 119
Pages: pp. 57 - 80
Keywords: Sketch-based 3D model retrieval; Evaluation; SHREC contest; Large-scale; Benchmark
Research Areas: Data and Informatics, Information Delivery Systems, Modeling, Software, Information Processing Systems, Imaging
PDF version: PDF Document Click here to retrieve PDF version of paper (3MB)