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dc.contributor.authorChiachia, Giovani [UNESP]
dc.contributor.authorMarana, Aparecido Nilceu [UNESP]
dc.contributor.authorPapa, João Paulo [UNESP]
dc.contributor.authorFalcão, Alexandre X.
dc.date.accessioned2014-05-27T11:24:03Z
dc.date.available2014-05-27T11:24:03Z
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.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.relation.ispartof2009 16th International Conference on Systems, Signals and Image Processing, IWSSIP 2009
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.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
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 aberto
dc.identifier.scopus2-s2.0-77949520083
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências, Baurupt
dc.identifier.lattes6027713750942689
dc.identifier.lattes9039182932747194
unesp.author.lattes6027713750942689
unesp.author.lattes9039182932747194
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