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

Li B.; Lu, YJ; Godil A.; Schreck, T; Bustos, B; Ferreira A.; Furuya T.; Fonseca, MJ; Johan H.; Matsuda, T.; Ohbuchi R.; Pascoal, PB; Saavedra, JM

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 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.

Más información

Título según WOS: A comparison of methods for sketch-based 3D shape retrieval
Título de la Revista: COMPUTER VISION AND IMAGE UNDERSTANDING
Volumen: 119
Editorial: ACADEMIC PRESS INC ELSEVIER SCIENCE
Fecha de publicación: 2014
Página de inicio: 57
Página final: 80
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S1077314213002282
DOI:

10.1016/j.cviu.2013.11.008

Notas: ISI