Feature selection in facial expression analysis and its effect on multi-SVM classifiers

dc.contributor.authorGunes, Turan
dc.contributor.authorPolat, Ediz
dc.date.accessioned2020-06-25T17:48:35Z
dc.date.available2020-06-25T17:48:35Z
dc.date.issued2009
dc.departmentKırıkkale Üniversitesi
dc.description.abstractFacial expressions are non-verbal signs that play important role to provide complete meaning in human communication. While humans can easily comprehend the facial expressions, it is not valid for the computers, thus the researchers are still working on developing reliable facial expression recognition systems. In this research, the analysis of 7 different human facial expressions (anger, disgust, fear, happiness, neutral, sadness and surprise) is performed from human facial images. For this purpose, the features for every facial expression are extracted using Gabor filters. The feature sets that best represent the facial expressions are obtained using different feature selection algorithms. The effects of selected feature sets on the multi-class Support Vector Machine (SVM) classifiers are investigated and a comparative evaluation for classification results is given for each algorithm. For the multi-class classification, the SVM classifier is used with three different approaches including One-Vs-One, One-Vs-Rest and Multi-class SVM. It is also shown that classification rates are increased when the selected features are used.en_US
dc.identifier.citationGüneş, T., Polat, E. (2009). Yüz ifade analizinde öznitelik seçimi ve çoklu SVM sınıflandırıcılarına etkisi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 24(1), 7 - 14.en_US
dc.identifier.endpage14en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-65349149447
dc.identifier.scopusqualityQ2
dc.identifier.startpage7en_US
dc.identifier.trdizinidtrdizinikyoktur
dc.identifier.urihttps://hdl.handle.net/20.500.12587/4502
dc.identifier.volume24en_US
dc.identifier.wosWOS:000273608200002
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isotr
dc.publisherGazi Univ, Fac Engineering Architectureen_US
dc.relation.ispartofJournal Of The Faculty Of Engineering And Architecture Of Gazi University
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFacial expression analysisen_US
dc.subjectfeature extractionen_US
dc.subjectgabor filteren_US
dc.subjectfeature selectionen_US
dc.subjectsupport vector machinesen_US
dc.subjectclassificationen_US
dc.titleFeature selection in facial expression analysis and its effect on multi-SVM classifiersen_US
dc.typeArticle

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