Extraction and selection of muscle based features for facial expression recognition

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dc.authorid0000-0001-6282-6703
dc.authorid0000-0003-0298-0690
dc.contributor.authorBenli, Kristin Surpuhien_US
dc.contributor.authorEskil, Mustafa Taneren_US
dc.date.accessioned2015-11-24T14:06:23Z
dc.date.available2015-11-24T14:06:23Z
dc.date.issued2014-12-04
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Civil Engineeringen_US
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractIn this study we propose a new set of muscle activity based features for facial expression recognition. We extract muscular activities by observing the displacements of facial feature points in an expression video. The facial feature points are initialized on muscular regions of influence in the first frame of the video. These points are tracked through optical flow in sequential frames. Displacements of feature points on the image plane are used to estimate the 3D orientation of a head model and relative displacements of its vertices. We model the human skin as a linear system of equations. The estimated deformation of the wireframe model produces an over-determined system of equations that can be solved under the constraint of the facial anatomy to obtain muscle activation levels. We apply sequential forward feature selection to choose the most descriptive set of muscles for recognition of basic facial expressions.en_US
dc.description.versionPublisher's Versionen_US
dc.description.versionAuthor Post Printen_US
dc.identifier.citationBenli, K. S. & Eskil, M. T. (2014). Extraction and selection of muscle based features for facial expression recognition. Paper presented at the 2014 22nd International Conference on Pattern Recognition, 1651-1656. doi:10.1109/ICPR.2014.14en_US
dc.identifier.doi10.1109/ICPR.2014.14
dc.identifier.endpage1656
dc.identifier.isbn9781479952083
dc.identifier.issn1051-4651
dc.identifier.scopus2-s2.0-84919941119
dc.identifier.scopusqualityN/A
dc.identifier.startpage1651
dc.identifier.urihttps://hdl.handle.net/11729/719
dc.identifier.urihttp://dx.doi.org/10.1109/ICPR.2014.14
dc.identifier.wosWOS:000359818001130
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorBenli, Kristin Surpuhien_US
dc.institutionauthorEskil, Mustafa Taneren_US
dc.institutionauthorid0000-0001-6282-6703
dc.institutionauthorid0000-0003-0298-0690
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEE Computer Socen_US
dc.relation.ispartof2014 22nd International Conference on Pattern Recognitionen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage sequencesen_US
dc.subjectFace detectionen_US
dc.subjectMotionen_US
dc.subjectModelsen_US
dc.subjectFaceen_US
dc.subjectFace recognitionen_US
dc.subjectFeature extractionen_US
dc.subjectMathematical modelen_US
dc.subjectMusclesen_US
dc.subjectShapeen_US
dc.subject3D orientation estimationen_US
dc.subjectFacial expression recognitionen_US
dc.subjectLinear systemen_US
dc.subjectMuscle activityen_US
dc.subjectMuscle based features extractionen_US
dc.subjectMuscle based features selectionen_US
dc.subjectMuscular regionsen_US
dc.subjectOptical flowen_US
dc.subjectSequential framesen_US
dc.subjectFeature selectionen_US
dc.titleExtraction and selection of muscle based features for facial expression recognitionen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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