You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/71296
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChiachia, Giovani-
dc.contributor.authorMarana, Aparecido Nilceu-
dc.contributor.authorPapa, João Paulo-
dc.contributor.authorFalcão, Alexandre X.-
dc.date.accessioned2014-05-27T11:24:03Z-
dc.date.accessioned2016-10-25T18:27:45Z-
dc.date.available2014-05-27T11:24:03Z-
dc.date.available2016-10-25T18:27:45Z-
dc.date.issued2009-12-01-
dc.identifierhttp://dx.doi.org/10.1109/IWSSIP.2009.5367752-
dc.identifier.citation2009 16th International Conference on Systems, Signals and Image Processing, IWSSIP 2009.-
dc.identifier.urihttp://hdl.handle.net/11449/71296-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/71296-
dc.description.abstractThis paper presents a novel, fast and accurate appearance-based method for infrared face recognition. By introducing the Optimum-Path Forest classifier, our objective is to get good recognition rates and effectively reduce the computational effort. The feature extraction procedure is carried out by PCA, and the results are compared to two other well known supervised learning classifiers; Artificial Neural Networks and Support Vector Machines. The achieved performance asserts the promise of the proposed framework. ©2009 IEEE.en
dc.language.isoeng-
dc.sourceScopus-
dc.subjectFace recognition-
dc.subjectMLP-
dc.subjectOPF-
dc.subjectPCA-
dc.subjectSVM-
dc.subjectThermal infrared-
dc.subjectAppearance-based methods-
dc.subjectArtificial Neural Network-
dc.subjectComputational effort-
dc.subjectForest classifiers-
dc.subjectInfrared face recognition-
dc.subjectRecognition rates-
dc.subjectAcoustic generators-
dc.subjectClassifiers-
dc.subjectFeature extraction-
dc.subjectImaging systems-
dc.subjectNeural networks-
dc.subjectSupport vector machines-
dc.titleInfrared face recogniton by optimum-path foresten
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
dc.description.affiliationSão Paulo State University Department of Computing-
dc.description.affiliationUniversity of Campinas Institute of Computing-
dc.description.affiliationUnespSão Paulo State University Department of Computing-
dc.identifier.doi10.1109/IWSSIP.2009.5367752-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartof2009 16th International Conference on Systems, Signals and Image Processing, IWSSIP 2009-
dc.identifier.scopus2-s2.0-77949520083-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
Show simple item record Show full item record   View Statistics
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.