Godil, A.
(2013),
A comparison of methods for sketch-based 3D shape retrieval, Computer Vision and Image Understanding, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915451
(Accessed October 4, 2023)
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A comparison of methods for sketch-based 3D shape retrieval
Published
Author(s)
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
Pub Type
Journals
Download Paper
Keywords
Sketch-based 3D model retrieval, Evaluation, SHREC contest, Large-scale, Benchmark
Citation
Created December 13, 2013, Updated February 19, 2017