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Precise eye localization using HOG descriptors

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Precise eye localization using HOG descriptors

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dc.contributor.author Monzó Ferrer, David es_ES
dc.contributor.author Albiol Colomer, Alberto es_ES
dc.contributor.author Sastre, Jorge es_ES
dc.contributor.author Albiol Colomer, Antonio José es_ES
dc.date.accessioned 2015-12-14T12:44:01Z
dc.date.available 2015-12-14T12:44:01Z
dc.date.issued 2011-05
dc.identifier.issn 0932-8092
dc.identifier.uri http://hdl.handle.net/10251/58789
dc.description.abstract In this paper, we present a novel algorithm for precise eye detection. First, a couple of AdaBoost classifiers trained with Haar-like features are used to preselect possible eye locations. Then, a Support Vector Machine machine that uses Histograms of Oriented Gradients descriptors is used to obtain the best pair of eyes among all possible combinations of preselected eyes. Finally, we compare the eye detection results with three state-of-the-art works and a commercial software. The results show that our algorithm achieves the highest accuracy on the FERET and FRGCv1 databases, which is the most complete comparative presented so far. © Springer-Verlag 2010. es_ES
dc.description.sponsorship This work has been partially supported by the grant TEC2009-09146 of the Spanish Government. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Machine Vision and Applications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject AdaBoost es_ES
dc.subject Eye detection es_ES
dc.subject HOG es_ES
dc.subject Local feature descriptors es_ES
dc.subject Commercial software es_ES
dc.subject Descriptors es_ES
dc.subject Eye localization es_ES
dc.subject Eye location es_ES
dc.subject Haar-like features es_ES
dc.subject Local feature es_ES
dc.subject Novel algorithm es_ES
dc.subject Pre-selected es_ES
dc.subject Algorithms es_ES
dc.subject Eye protection es_ES
dc.subject Adaptive boosting es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Precise eye localization using HOG descriptors es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s00138-010-0273-0
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TEC2009-09146/ES/Nuevas Tecnicas Para Video Vigilancia Inteligente/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Monzó Ferrer, D.; Albiol Colomer, A.; Sastre, J.; Albiol Colomer, AJ. (2011). Precise eye localization using HOG descriptors. Machine Vision and Applications. 22(3):471-480. https://doi.org/10.1007/s00138-010-0273-0 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s00138-010-0273-0 es_ES
dc.description.upvformatpinicio 471 es_ES
dc.description.upvformatpfin 480 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 22 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 216612 es_ES
dc.identifier.eissn 1432-1769
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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