A comparison of methods for non-rigid 3D shape retrieval

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-...

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Veröffentlicht in:	Pattern recognition Jg. 46; H. 1; S. 449 - 461
Hauptverfasser:	Lian, Zhouhui, Godil, Afzal, Bustos, Benjamin, Daoudi, Mohamed, Hermans, Jeroen, Kawamura, Shun, Kurita, Yukinori, Lavoué, Guillaume, Van Nguyen, Hien, Ohbuchi, Ryutarou, Ohkita, Yuki, Ohishi, Yuya, Porikli, Fatih, Reuter, Martin, Sipiran, Ivan, Smeets, Dirk, Suetens, Paul, Tabia, Hedi, Vandermeulen, Dirk
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.01.2013 Elsevier
Schlagworte:	3D shape retrieval Algorithms Applied sciences Benchmark Benchmarking Categories Computer Science Computer Vision and Pattern Recognition Detection, estimation, filtering, equalization, prediction Exact sciences and technology Finite element method Information Retrieval Information, signal and communications theory Non-rigid Pattern recognition Retrieval Signal and communications theory Signal processing Signal, noise State of the art Telecommunications and information theory Three dimensional Non-rigid 3D shape retrieval Benchmark Performance evaluation State of the art Three dimensional shape Pattern recognition Object recognition Algorithm performance Volume Object detection Web site Target detection Content analysis
ISSN:	0031-3203, 1873-5142
Online-Zugang:	Volltext
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