Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-03767-2_16
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dc.titleCombining facial appearance and dynamics for face recognition
dc.contributor.authorYe, N.
dc.contributor.authorSim, T.
dc.date.accessioned2013-07-04T08:14:49Z
dc.date.available2013-07-04T08:14:49Z
dc.date.issued2009
dc.identifier.citationYe, N.,Sim, T. (2009). Combining facial appearance and dynamics for face recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5702 LNCS : 133-140. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-03767-2_16" target="_blank">https://doi.org/10.1007/978-3-642-03767-2_16</a>
dc.identifier.isbn3642037666
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40894
dc.description.abstractIn this paper, we present a novel hybrid feature for face recognition. This hybrid feature is created by combining the traditional holistic facial appearance feature with a recently proposed facial dynamics feature. We measure and compare the inherent discriminating power of this hybrid feature and the holistic facial appearance feature by the statistical separability between genuine feature distance and impostor feature distance. Our measurement indicates that the hybrid feature is more discriminative than the appearance feature. © 2009 Springer Berlin Heidelberg.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-03767-2_16
dc.sourceScopus
dc.subjectAppearance
dc.subjectBiometrics
dc.subjectDynamics
dc.subjectFace
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-03767-2_16
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume5702 LNCS
dc.description.page133-140
dc.identifier.isiutNOT_IN_WOS
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