On occlusion robust, illumination and facial expression invariant face recognition

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dc.contributor.authorFaaya, Tiwuya H.
dc.contributor.authorToygar, Önsen
dc.date.accessioned2026-02-06T18:00:44Z
dc.date.issued2008
dc.departmentDoğu Akdeniz Üniversitesi
dc.description2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008 --
dc.description.abstractIn face recognition, the presence of occlusions, illumination variations and facial expressions are known to greatly reduce recognition performance. nPCA and nLDA approaches based on classical PCA and LDA has been proposed in this paper to cope with these difficulties and improve the recognition performance. The proposed scheme employs the use of histogram equalization and mean-and-variance normalization. Tests have been carried out on the JAFFE database in order to compare performance with classical PCA and LDA.
dc.description.sponsorshipHarvard University; University of California; University of Minnesota; University of Illinois at Urbana-Champaign; Georgia Institute of Technology and Emory University
dc.identifier.endpage362
dc.identifier.isbn1601320787
dc.identifier.isbn9781601320780
dc.identifier.scopus2-s2.0-62749197588
dc.identifier.scopusqualityN/A
dc.identifier.startpage358
dc.identifier.urihttps://hdl.handle.net/11129/8098
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260204
dc.subjectFace occlusion
dc.subjectFace recognition
dc.subjectFacial expressions
dc.subjectLDA
dc.subjectPCA
dc.titleOn occlusion robust, illumination and facial expression invariant face recognition
dc.typeConference Object

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