A comparison of methods for non-rigid 3D ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
A comparison of methods for non-rigid 3D shape retrieval
Author(s) :
Lian, Zhouhui [Auteur correspondant]
Godil, Afzal [Auteur]
National Institute of Standards and Technology [Gaithersburg] [NIST]
Bustos, Benjamin [Auteur]
Computer Science Department [Santiago] [DCC]
Daoudi, Mohamed [Auteur]
FOX MIIRE [LIFL]
Institut TELECOM/TELECOM Lille1
Hermans, Jeroen [Auteur]
Catholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
Kawamura, Shun [Auteur]
Yamanashi University
Kurita, Yukinori [Auteur]
Yamanashi University
Lavoué, Guillaume [Auteur]
Geometry Processing and Constrained Optimization [M2DisCo]
Nguyen, Hien Van [Auteur]
University of Maryland [College Park]
Ohbuchi, Ryutarou [Auteur]
Yamanashi University
Ohkita, Yuki [Auteur]
Yamanashi University
Ohishi, Yuya [Auteur]
Yamanashi University
Porikli, Fatih [Auteur]
Reuter, Martin [Auteur]
Athinoula A. Martinos Center for Biomedical Imaging
Sipiran, Ivan [Auteur]
Computer Science Department [Santiago] [DCC]
Smeets, Dirk [Auteur]
Catholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
Suetens, Paul [Auteur]
Catholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
Tabia, Hedi [Auteur]
Multimedia Indexation and Data Integration [MIDI]
Vandermeulen, Dirk [Auteur]
Catholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
Godil, Afzal [Auteur]
National Institute of Standards and Technology [Gaithersburg] [NIST]
Bustos, Benjamin [Auteur]
Computer Science Department [Santiago] [DCC]
Daoudi, Mohamed [Auteur]
FOX MIIRE [LIFL]
Institut TELECOM/TELECOM Lille1
Hermans, Jeroen [Auteur]
Catholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
Kawamura, Shun [Auteur]
Yamanashi University
Kurita, Yukinori [Auteur]
Yamanashi University
Lavoué, Guillaume [Auteur]
Geometry Processing and Constrained Optimization [M2DisCo]
Nguyen, Hien Van [Auteur]
University of Maryland [College Park]
Ohbuchi, Ryutarou [Auteur]
Yamanashi University
Ohkita, Yuki [Auteur]
Yamanashi University
Ohishi, Yuya [Auteur]
Yamanashi University
Porikli, Fatih [Auteur]
Reuter, Martin [Auteur]
Athinoula A. Martinos Center for Biomedical Imaging
Sipiran, Ivan [Auteur]
Computer Science Department [Santiago] [DCC]
Smeets, Dirk [Auteur]
Catholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
Suetens, Paul [Auteur]
Catholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
Tabia, Hedi [Auteur]
Multimedia Indexation and Data Integration [MIDI]
Vandermeulen, Dirk [Auteur]
Catholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
Journal title :
Pattern Recognition
Pages :
449-461
Publisher :
Elsevier
Publication date :
2013-01-01
ISSN :
0031-3203
English keyword(s) :
3D shape retrieval
Non-rigid
Benchmark
Non-rigid
Benchmark
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Recherche d'information [cs.IR]
Informatique [cs]/Recherche d'information [cs.IR]
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Popular science :
Non
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