Person independent facial expression recognition using 3D facial feature positions

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dc.contributor.authorYurtkan, Kamil
dc.contributor.authorDemirel, Hasan
dc.date.accessioned2026-02-06T17:53:46Z
dc.date.issued2013
dc.departmentDoğu Akdeniz Üniversitesi
dc.description27h International Symposium on Computer and Information Sciences, ISCIS 2012 --
dc.description.abstractFacial expressions contain a lot of information about the feelings of a human. They play an important role in human-computer interaction. In this paper, we propose a person independent facial expression recognition algorithm based on 3-Dimensional (3D) geometrical facial feature positions to classify the six basic expressions of the face: Anger, disgust, fear, happiness, sadness and surprise. The algorithm is tested on BU-3DFE database and provides encouraging recognition rates. © 2013 Springer-Verlag London.
dc.identifier.doi10.1007/978-1-4471-4594-3_33
dc.identifier.endpage329
dc.identifier.scopus2-s2.0-84887839503
dc.identifier.scopusqualityN/A
dc.identifier.startpage321
dc.identifier.urihttps://doi.org/10.1007/978-1-4471-4594-3_33
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/
dc.identifier.urihttps://hdl.handle.net/11129/7058
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherKluwer Academic Publishers
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260204
dc.subjectFace biometrics
dc.subjectFacial expression analysis
dc.subjectFacial expression recognition
dc.subjectFacial feature selection
dc.titlePerson independent facial expression recognition using 3D facial feature positions
dc.typeConference Object

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