Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44029
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dc.contributor.authorCrespo, Daviden_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorAlonso, Jesús B.en_US
dc.date.accessioned2018-11-21T19:41:25Z-
dc.date.available2018-11-21T19:41:25Z-
dc.date.issued2012en_US
dc.identifier.isbn9789898425898en_US
dc.identifier.urihttp://hdl.handle.net/10553/44029-
dc.description.abstractThis paper presents a comprehensible performance analysis of a thermal face verification system based on the Scale-Invariant Feature Transform algorithm (SIFT) with a vocabulary tree, providing a verification scheme that scales efficiently to a large number of features. The image database is formed from front-view thermal images, which contain facial temperature distributions of different individuals in 2-dimensional format, containing 1,476 thermal images equally split into two sets of modalities: face and head. The SIFT features are not only invariant to image scale and rotation but also essential for providing a robust matching across changes in illumination or addition of noise. Descriptors extracted from local regions are hierarchically set in a vocabulary tree using the k-means algorithm as clustering method. That provides a larger and more discriminatory vocabulary, which leads to a performance improvement. The verification quality is evaluated through a series of independent experiments with various results, showing the power of the system, which satisfactorily verifies the identity of the database subjects and overcoming limitations such as dependency on illumination conditions and facial expressions. A comparison between head and face verification is made, obtaining success rates of 97.60% with thermal head images in relation to 88.20% in thermal face verification.
dc.languagespaen_US
dc.relation.ispartofBIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processingen_US
dc.sourceBIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, p. 475-481en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherK-means, Image processing, SIFT parameters, Pattern recognition, Thermal face verification, Vocabulary tree, Face detectionen_US
dc.titleThermal face verification based on scale-invariant feature transform and vocabulary tree: Application to Biometric Verification Systemsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conferenceInternational Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2012
dc.identifier.scopus84861964119-
dc.contributor.authorscopusid55245730200-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid24774957200-
dc.description.lastpage481-
dc.description.firstpage475-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateJunio 2012
dc.identifier.conferenceidevents121438
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.event.eventsstartdate01-02-2012-
crisitem.event.eventsenddate04-02-2012-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
Appears in Collections:Actas de congresos
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