A 3D Facial Expression Recognition System Based On SVM Classifier Using Distance Based Features

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dc.contributor.authorSoylemez, Omer Famk
dc.contributor.authorErgen, Burhan
dc.contributor.authorSoylemez, Nesrin Hark
dc.date.accessioned2024-04-24T17:33:10Z
dc.date.available2024-04-24T17:33:10Z
dc.date.issued2017
dc.departmentDicle Üniversitesien_US
dc.description25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYen_US
dc.description.abstractIn this study, an SVM-based system is proposed for the classification of facial expressions that are represented in 3D. Distance based features are used as a feature vector, which are determined by the distances between the different key points on the image. Study was conducted on a subset (Happy, sadness, surprise) of Bosphorus 3D Face Database. 9 different fiducial points arc used to calculate a total of 5 distance features. SVM classification was performed with K-fold cross validation thus mean classification performance of different training and test clusters were determined. %85 success rate has achieved as a result of the expression analysis performed on the 3D facial scans.en_US
dc.description.sponsorshipTurk Telekom,Arcelik A S,Aselsan,ARGENIT,HAVELSAN,NETAS,Adresgezgini,IEEE Turkey Sect,AVCR Informat Technologies,Cisco,i2i Syst,Integrated Syst & Syst Design,ENOVAS,FiGES Engn,MS Spektral,Istanbul Teknik Univen_US
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85026312181
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/11468/20487
dc.identifier.wosWOS:000413813100460
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 25th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFacial Expression Recognitionen_US
dc.subjectDistance Based Featuresen_US
dc.subjectSupport Vector Machinesen_US
dc.titleA 3D Facial Expression Recognition System Based On SVM Classifier Using Distance Based Featuresen_US
dc.titleA 3D Facial Expression Recognition System Based On SVM Classifier Using Distance Based Features
dc.typeConference Objecten_US

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