Title
A comparison of methods for sketch-based 3D shape retrieval
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 [1,2].
Year
DOI
Venue
2014
10.1016/j.cviu.2013.11.008
Computer Vision and Image Understanding
Keywords
Field
DocType
object retrieval,state-of-the-art approach,important research topic,shape retrieval,evaluation tool,research area,large-scale benchmarks,retrieval method,eleven additional state-of-the-art method,shape retrieval method,evaluation,benchmark
Information retrieval,Computer science,CONTEST,Sketch
Journal
Volume
Issue
ISSN
119,
1
1077-3142
Citations 
PageRank 
References 
37
1.01
58
Authors
13
Name
Order
Citations
PageRank
Bo Li125715.09
Yijuan Lu273246.24
Afzal Godil361930.70
Tobias Schreck41854123.28
Benjamin Bustos5135667.78
Alfredo Ferreira617218.40
Takahiko Furuya741121.02
Manuel J. Fonseca829322.53
Henry Johan935529.36
Takahiro Matsuda1034342.05
R. Ohbuchi111710170.54
Pedro B. Pascoal12383.11
Jose M. Saavedra131094.52