A comparison of methods for non-rigid 3D shape retrieval
| Author | dc.contributor.author | Lian, Zhouhui | |
| Author | dc.contributor.author | Godil, Afzal | es_CL |
| Author | dc.contributor.author | Bustos Cárdenas, Benjamín | es_CL |
| Author | dc.contributor.author | Daoudi, Mohamed | es_CL |
| Author | dc.contributor.author | Hermans, Jeroen | es_CL |
| Author | dc.contributor.author | Kawamura, Shun | es_CL |
| Author | dc.contributor.author | Kurita, Yukinori | es_CL |
| Author | dc.contributor.author | Lavoué, Guillaume | es_CL |
| Author | dc.contributor.author | Van Nguyen, Hien | es_CL |
| Author | dc.contributor.author | Ohbuchi, Ryutarou | es_CL |
| Author | dc.contributor.author | Ohkita, Yuki | es_CL |
| Author | dc.contributor.author | Ohishi, Yuya | es_CL |
| Author | dc.contributor.author | Porikli, Fatih | es_CL |
| Author | dc.contributor.author | Reuter, Martin | es_CL |
| Author | dc.contributor.author | Sipiran, Ivan | es_CL |
| Author | dc.contributor.author | Smeets, Dirk | es_CL |
| Author | dc.contributor.author | Suetens, Paul | es_CL |
| Author | dc.contributor.author | Tabia, Hedi | es_CL |
| Author | dc.contributor.author | Vandermeulen, Dirk | es_CL |
| Admission date | dc.date.accessioned | 2014-01-23T18:46:21Z | |
| Available date | dc.date.available | 2014-01-23T18:46:21Z | |
| Publication date | dc.date.issued | 2013-01 | |
| Cita de ítem | dc.identifier.citation | Pattern Recognition 46 (2013) 449–461 | en_US |
| Identifier | dc.identifier.other | 10.1016/j.patcog.2012.07.014 | |
| Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/126265 | |
| General note | dc.description | Artículo de publicación ISI. | en_US |
| Abstract | dc.description.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]. (C) 2012 Elsevier Ltd. All rights reserved | en_US |
| Patrocinador | dc.description.sponsorship | China Postdoctoral Science Foundation (GrantNo.2012M510274),the SIMA program, the Shape Metrology IMS, and Fondecyt (Chile) Project 1110111 | en_US |
| Lenguage | dc.language.iso | en | en_US |
| Publisher | dc.publisher | Elsevier | en_US |
| Type of license | dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Chile | * |
| Link to License | dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | * |
| Keywords | dc.subject | 3D shape retrieval | en_US |
| Título | dc.title | A comparison of methods for non-rigid 3D shape retrieval | en_US |
| Document type | dc.type | Artículo de revista |
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