3D Facial Expression Recognition with Geometrically Localized Facial Features

Simple item page
dc.contributor.authorSoyel, Hamit
dc.contributor.authorDemirel, Hasan
dc.date.accessioned2026-02-06T18:17:02Z
dc.date.issued2008
dc.departmentDoğu Akdeniz Üniversitesi
dc.description23rd International Symposium on Computer and Information Sciences -- OCT 27-29, 2008 -- Istanbul, TURKEY
dc.description.abstractThis paper describes a pose invariant three-dimensional (3D) facial expression recognition method using distance vectors retrieved from 3D distributions of facial feature points to classify universal facial expressions. Probabilistic Neural Network architecture is employed as a classifier to recognize the facial expressions from a distance vector obtained from 3D facial feature locations. Facial expressions such as anger, sadness, surprise, joy, disgust, fear and neutral are successfully recognized with an average recognition rate of 87.8%.
dc.identifier.endpage232
dc.identifier.isbn978-1-4244-2880-9
dc.identifier.orcid0000-0002-0305-574X
dc.identifier.scopus2-s2.0-58449092642
dc.identifier.scopusqualityN/A
dc.identifier.startpage229
dc.identifier.urihttps://hdl.handle.net/11129/8752
dc.identifier.wosWOS:000265160400046
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof23Rd International Symposium on Computer and Information Sciences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subject3D facial expression recognition
dc.subject3D distributions of facial feature points
dc.title3D Facial Expression Recognition with Geometrically Localized Facial Features
dc.typeConference Object

Files

Collections

WoS Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu