Paper Info
Title
A comparison of methods for non-rigid 3D shape retrieval
Abstract
Non-rigid 3D shape retrieval has become an active and important research topic in content-based 3D object retrieval. The aim of this paper is to measure and compare the performance of state-of-the-art methods for non-rigid 3D shape retrieval. The paper develops a new benchmark consisting of 600 non-rigid 3D watertight meshes, which are equally classified into 30 categories, to carry out experiments for 11 different algorithms, whose retrieval accuracies are evaluated using six commonly utilized measures. Models and evaluation tools of the new benchmark are publicly available on our web site [1].
Year
DOI
Venue
2013
10.1016/j.patcog.2012.07.014
Pattern Recognition
Keywords
Field
DocType
different algorithm,retrieval accuracy,object retrieval,watertight mesh,important research topic,shape retrieval,evaluation tool,utilized measure,new benchmark,state-of-the-art method,benchmark
Polygon mesh,Information retrieval,Computer science,Artificial intelligence,Machine learning,Web site
Journal
Volume
Issue
ISSN
46
1
0031-3203
Citations 
PageRank 
References 
75
1.54
45
Authors
19
Name
Order
Citations
PageRank
Zhou-hui Lian147532.27
Afzal Godil261930.70
Benjamin Bustos3135667.78
Mohamed Daoudi4148986.39
Jeroen Hermans51849.00
Shun Kawamura6781.95
Yukinori Kurita7752.22
Guillaume Lavoué869834.52
Hien V. Nguyen984977.92
R. Ohbuchi101710170.54
Yuki Ohkita11872.05
Yuya Ohishi12872.05
Fatih Porikli133409169.13
Martin Reuter1462422.10
Ivan Sipiran1539817.19
Dirk Smeets1641316.61
Paul Suetens172811431.53
Hedi Tabia1827816.27
Dirk Vandermeulen192419356.13