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Biologically plausible computational models for facial expression recognition

dc.contributor.authorShenoy, Aruna
dc.contributor.authorDavey, N.
dc.contributor.authorFrank, Raymond
dc.date.accessioned2014-11-05T16:14:27Z
dc.date.available2014-11-05T16:14:27Z
dc.date.issued2013-12-01
dc.identifier.citationShenoy , A , Davey , N & Frank , R 2013 , Biologically plausible computational models for facial expression recognition . in 2013 5th Computer Science and Electronic Engineering Conference, CEEC 2013 - Conference Proceedings . , 6659442 , pp. 39-44 , 2013 5th Computer Science and Electronic Engineering Conference, CEEC 2013 , Colchester , United Kingdom , 17/09/13 . https://doi.org/10.1109/CEEC.2013.6659442
dc.identifier.citationconference
dc.identifier.isbn9781479903818
dc.identifier.urihttp://hdl.handle.net/2299/14681
dc.description.abstractThis paper discusses various biologically plausible computational models that recognize human facial expression and analyze them. Identifying facial expressions is a non trivial task for a human and is a key part of social interactions. However, it is not as simple as that for a computational system. Here we analyze six different universally accepted facial expressions for analysis with the aid of six biologically plausible computational models.en
dc.format.extent6
dc.language.isoeng
dc.relation.ispartof2013 5th Computer Science and Electronic Engineering Conference, CEEC 2013 - Conference Proceedings
dc.subjectCurvilinear Component Analysis
dc.subjectfacial expressions
dc.subjectGabor filters
dc.subjectPrincipal Component Analysis
dc.subjectSupport Vector Machines
dc.subjectComputer Science (miscellaneous)
dc.subjectElectrical and Electronic Engineering
dc.titleBiologically plausible computational models for facial expression recognitionen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
rioxxterms.versionofrecord10.1109/CEEC.2013.6659442
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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