An SVD based common matrix method for face recognition: Single image per person

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dc.contributor.authorApaydin, Meltem
dc.contributor.authorTurhal, Ü. Çiǧdem
dc.contributor.authorDuysak, Alpaslan
dc.date.accessioned2025-05-20T18:47:19Z
dc.date.issued2010
dc.departmentBilecik Şeyh Edebali Üniversitesi
dc.description25th International Symposium on Computer and Information Sciences, ISCIS 2010 -- 22 September 2010 through 24 September 2010 -- London -- 82255
dc.description.abstractCommon Matrix (CM) fails to work when there is only one image available in the training set. In this paper, an approach to solve this problem is proposed. By using singular value decomposition (SVD) null space of the image matrices are obtained. By projecting the image matrix onto the null space, common matrices are obtained for each class. After obtaining the common matrices, optimal projection vectors will be those that maximize the total scatter of the common matrices. © 2011 Springer Science+Business Media B.V.
dc.identifier.doi10.1007/978-90-481-9794-1_55
dc.identifier.endpage292
dc.identifier.isbn978-904819793-4
dc.identifier.issn1876-1119
dc.identifier.scopus2-s2.0-78651548995
dc.identifier.scopusqualityQ4
dc.identifier.startpage289
dc.identifier.urihttps://doi.org/10.1007/978-90-481-9794-1_55
dc.identifier.urihttps://hdl.handle.net/11552/6303
dc.identifier.volume62 LNEE
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.ispartofLecture Notes in Electrical Engineering
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250518
dc.subjectCommon Matrix (CM)
dc.subjectCommon vector (CV) approach
dc.subjectFace recognition
dc.subjectSingle training image per person
dc.subjectSingular value decomposition (SVD)
dc.titleAn SVD based common matrix method for face recognition: Single image per person
dc.typeConference Object

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