High performance pose invariant face recognition

Simple item page
dc.contributor.authorDemirel, Hasan
dc.contributor.authorAnbarjafari, Gholamreza
dc.date.accessioned2026-02-06T18:17:17Z
dc.date.issued2008
dc.departmentDoğu Akdeniz Üniversitesi
dc.description3rd International Conference on Computer Vision Theory and Applications -- JAN 22-25, 2008 -- Funchal, PORTUGAL
dc.description.abstractA novel pose invariant face recognition system based on grey level histogram matching is proposed. The proposed system in this paper uses grey level histograms as feature vectors for recognition of the different poses of faces. The process is performed by taking the cross correlation between the histogram of a test face and the histograms of the training faces in the database. The proposed system gives 98.80% recognition rate on the HP database of 15 face subjects. This rate is down to 92% in the case of conventional eigenfaces method.
dc.description.sponsorshipInst Syst & Technol Informat, Control & Commun,Univ Madeira
dc.identifier.endpage285
dc.identifier.isbn978-989-8111-21-0
dc.identifier.orcid0000-0001-8460-5717
dc.identifier.scopus2-s2.0-57549092758
dc.identifier.scopusqualityN/A
dc.identifier.startpage282
dc.identifier.urihttps://hdl.handle.net/11129/8903
dc.identifier.wosWOS:000256791600047
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInsticc-Inst Syst Technologies Information Control & Communication
dc.relation.ispartofVisapp 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Vol 2
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectface recognition
dc.subjectpose invariant
dc.subjecthistogram matching
dc.titleHigh performance pose invariant face recognition
dc.typeConference Object

Files

Collections

WoS Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu