Facial Expression Recognition with an Optimized Radial Basis Kernel

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dc.contributor.authorAshir, Abubakar M.
dc.contributor.authorAkdemir, Bayram
dc.date.accessioned2020-03-26T19:53:57Z
dc.date.available2020-03-26T19:53:57Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description6th International Symposium on Digital Forensic and Security (ISDFS) -- MAR 22-25, 2018 -- Antalya, TURKEYen_US
dc.description.abstractIn this work, a new approach for facial expression recognition has been proposed. The approach has imbedded in it both new feature extraction technique and classification techniques using automatic auto-tuning of kernel parameter optimization in support vector machines. It generally begins with feature extraction from the input vectors using a combination of arithmetic means difference and rotation invariant Local Binary Pattern. The extracted features are projected into a Gaussian space to match it with the radial basis function kernel used in support vector machines for classification. Prior to classification, an optimized parameter for support vector machines training are automatically determined based on an approach proposed which relies on the receiver operating characteristics of the support vector machine classifier. The results obtained from the experiments were impressive and promising. From the experiments conducted on the two facial expression databases with different cross-validation techniques, the proposed approach outperforms its counterparts under the same database and settings.en_US
dc.description.sponsorshipIEEE Turkey Sect, Firat Univ, Sam Houston State Univ, Gazi Univ, Univ Arkanas Little Rock, Polytechn Inst Cavado & Ave, Havelsan, Balikesir Univ, Hacettepe Univ, Youngstown State Univ, Baskent Univ, Petru Maior Univen_US
dc.identifier.endpage286en_US
dc.identifier.isbn978-1-5386-3449-3
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage281en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36630
dc.identifier.wosWOS:000434247400053en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 6TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSIC AND SECURITY (ISDFS)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectFacaial Expression Recognitionen_US
dc.subjectRadial Basis Functionen_US
dc.subjectSupport vector Machineen_US
dc.subjectarithmatic mean differenceen_US
dc.subjectrotation invariant LBPen_US
dc.titleFacial Expression Recognition with an Optimized Radial Basis Kernelen_US
dc.typeConference Objecten_US

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