A comparison of methods for sketch-based 3D shape retrieval
Author
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
General note
Artículo de publicación ISI
Patrocinador
Army Research Office grant W911NF-12-1-0057,
Texas State University Research Enhancement Program (REP),
NSF CRI 1305302,
Fondecyt (Chile) Project 1110111,
Pest-OE/EEI/LA0021/2013,
Fraunhofer IDM@NTU,
National Research Foundation (NRF),
Interactive & Digital Media Programme
Office (IDMPO),
Media Development Authority of Singapore
(MDA).
Identifier
URI: https://repositorio.uchile.cl/handle/2250/126499
Quote Item
Computer Vision and Image Understanding 119 (2014) 57–80
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