Modifications on illumination, distance function and Gabor masks for elastic bunch graph matching

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dc.contributor.advisorhttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.contributor.authorGutierrez Caceres, Juan Carlos
dc.contributor.authorGaldos Chávez, Jose Rodrigo
dc.date.accessioned2019-01-29T22:19:51Z
dc.date.available2019-01-29T22:19:51Z
dc.date.issued2017
dc.description.abstractFace recognition is one of the most important field in computer vision, although there are many proposals and research papers still have limitations in real applications where uncontrolled conditions such as illumination, view angle, facial expressions, resolution and image quality, etc. are the main problems. To solve these issues there are a large number of methods for recognition, which can be grouped according to the approach by which the recognition process is addressed, such groups are; holistic methods and featrure based. In this paper we address a feature-based method called Elastic Bunch Graph Matching (EBGM) which is appropriate for an uncontrolled environment for its tolerance to changing background and certain variations of pose, also by having a lower sensitivity variations of illumination which is one of the weaknesses in the holistic methods, which compared to them EBGM without any modification obtained results alongside well-known methods as Principal Component Analysis (PCA). EBGM has several parameters that can be configured and most of the works in literature uses the default settings of the original author. In this respect this paper presents modifications to these parameters as regards the number of models, illumination enhancement in the preprocessing phase, the configurations Gabor masks and modifying the similarity function. Finally we corroborate the existence of improvements on our experimental results. © 2016 IEEE.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1109/SCCC.2016.7836050es_PE
dc.identifier.isbnurn:isbn:9781509033393es_PE
dc.identifier.issn15224902es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15795
dc.language.isoenges_PE
dc.publisherIEEE Computer Societyes_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85017611052&doi=10.1109%2fSCCC.2016.7836050&partnerID=40&md5=aa56fc97045a00d2d9c0785c06c6ce23es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectBiometricses_PE
dc.subjectLightinges_PE
dc.subjectPrincipal component analysises_PE
dc.subjectSensitivity analysises_PE
dc.subjectEBGMes_PE
dc.subjectElastic bunch graph matchinges_PE
dc.subjectFeature-based methodes_PE
dc.subjectPreprocessing phasees_PE
dc.subjectRecognition processes_PE
dc.subjectSensitivity variationes_PE
dc.subjectSimilarity functionses_PE
dc.subjectuncontrolled environmentes_PE
dc.subjectFace recognitiones_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleModifications on illumination, distance function and Gabor masks for elastic bunch graph matchinges_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
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