Face Recognition Using Message Passing Based Clustering Method

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dc.contributor.author Du, C
dc.contributor.author Yang, J
dc.contributor.author Wu, Q
dc.contributor.author Zhang, TT
dc.date.accessioned 2010-05-28T09:52:01Z
dc.date.issued 2009-01
dc.identifier.citation Journal of Visual Communication, 2009, 20 (8), pp. 608 - 613
dc.identifier.issn 1047-3203
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/9806
dc.description.abstract Traditional subspace analysis methods are inefficient and tend to be affected by noise as they compare the test image to all training images, especifically when there are large numbers of training images. To solve such problem, we propose a fast face recognition (FR) technique called APLDA by combining a novel clustering method affinity propagation (AP) with linear discriminant analysis (LDA). By using AP on the reduced features derived from LDA, a representative face image for each subject can be reached. Thus, our APLDA uses only the representative images rather than all training images for identification. Obviously, APLDA is much more computationally efficient than Fisherface. Also, unlike Fisherface who uses pattern classifier for identification, APLDA performs the identification using AP once again to cluster the test image into one of the representative images. Experimental results also indicate that APLDA outperforms Fisherface in terms of recognition rate.
dc.publisher Academic Press Inc Elsevier Science
dc.relation.isbasedon 10.1016/j.jvcir.2009.09.002
dc.title Face Recognition Using Message Passing Based Clustering Method
dc.type Journal Article
dc.parent Journal of Visual Communication
dc.journal.volume 8
dc.journal.volume 20
dc.journal.number 8 en_US
dc.publocation San Diego, USA en_US
dc.identifier.startpage 608 en_US
dc.identifier.endpage 613 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 000748
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity ISI:000272573400010 en_US
dc.description.keywords Message passing; Affinity propagation; Representative face image; Face recognition; Linear discriminant analysis (LDA) en_US
dc.description.keywords Message passing
dc.description.keywords Affinity propagation
dc.description.keywords Representative face image
dc.description.keywords Face recognition
dc.description.keywords Linear discriminant analysis (LDA)
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)

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