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dc.contributor.authorLu, C.
dc.contributor.authorAn, Senjian
dc.contributor.authorLiu, Wan-quan
dc.contributor.authorLiu, X.
dc.contributor.editorPaisarn Muneesawang
dc.contributor.editorFeng Wu
dc.contributor.editorItsuo Kumazawa
dc.contributor.editorAthikom Roeksabutr
dc.contributor.editorMark Liao
dc.contributor.editorXiaoou Tang
dc.date.accessioned2017-01-30T12:26:38Z
dc.date.available2017-01-30T12:26:38Z
dc.date.created2010-03-09T20:02:49Z
dc.date.issued2009
dc.identifier.citationLu, Chong and An, Senjian and Liu, Wanquan and Liu, Xiaodong. 2009. An innovative weighted 2DLDA approach for face recognition, in Paisarn Muneesawang, Feng Wu, Itsuo Kumazawa, Athikom Roeksabutr, Mark Liao, Xiaoou Tang (ed), PCM 09, Dec 15 2009, pp. 110-118. Bangkok, Thailand: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/21668
dc.identifier.doi10.1007/978-3-642-10467-1_9
dc.description.abstract

Two Dimensional Linear Discrimination Analysis (2DLDA) is an effective feature extraction approach for face recognition, which manipulates on the two dimensional image matrices directly. However, some between-class distances in the projected space are too small andthis may bring large error classification rates. In this paper we proposea new 2DLDA-based approach that can overcome such drawback in the 2DLDA. The proposed approach redefines the between-class scatter matrix by putting a weighting function based on the between-class distances, and this will balance the between-class distances in the projected space iteratively. In order to design an effective weighting function, the between-class distances are calculated and then used to iteratively change the between-class scatter matrix. Experimental results showed that the proposed approach can improve the recognition rates on the ORL database, the Yale database and the YaleB database in comparison with other 2DLDA variants

dc.publisherSpringer
dc.subjectWeighted - Linear Discriminant Analysis
dc.subjectFace recognition
dc.subjectTwo dimensional Linear Discriminant Analysis
dc.titleAn innovative weighted 2 DLDA approach for face recognition
dc.typeConference Paper
dcterms.source.startPage110
dcterms.source.endPage118
dcterms.source.titleThe 2009 IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
dcterms.source.seriesThe 2009 IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
dcterms.source.isbn9783642104664
dcterms.source.conferencePCM 09
dcterms.source.conference-start-dateDec 15 2009
dcterms.source.conferencelocationBangkok, Thailand
dcterms.source.placeBerlin / Heidelberg
curtin.note

The original publication is available at : http://www.springerlink.com

curtin.accessStatusFulltext not available
curtin.facultySchool of Science and Computing
curtin.facultyDepartment of Computing
curtin.facultyFaculty of Science and Engineering


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