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dc.contributor.authorZhang, Bai-lingen_US
dc.contributor.authorCerone, Pietroen_US
dc.contributor.authorGao, Yongshengen_US
dc.date.accessioned2017-05-03T14:12:56Z
dc.date.available2017-05-03T14:12:56Z
dc.date.issued2006en_US
dc.date.modified2008-01-17T08:27:24Z
dc.identifier.issn17962048en_US
dc.identifier.urihttp://hdl.handle.net/10072/13775
dc.description.abstractFace recognition can be studied as an associative memory (AM) problem and kernel-based AM models have been proven efficient. In this paper, a hierarchical Kernel Associative Memory (KAM) face recognition scheme with a multiscale Gabor transform, is proposed. The pyramidal multiscale Gabor decomposition proposed by Nestares, Navarro, Portilla and Tabernero not only provides a very efficient implementation of the Gabor transform in the spatial domain, but also permits a fast reconstruction of images. In our method, face images of each person are first decomposed into their multiscale representations by a quasicomplete Gabor transform, which are then modelled by Kernel Associative Memories. In the recognition stage, a query face image is also represented by a Gabor multiresolution pyramid and the reconstructions from different KAM models corresponding to even Gabor channels are then simply summed to give the recall. The recognition scheme was thoroughly tested using several benchmarking face datasets, including the AR faces, UMIST faces, JAFFE faces and Yale A faces, which include different kind of face variations from occlusions, pose, expression and illumination. The experiment results show that the proposed method demonstrated strong robustness in recognizing faces under different conditions, particularly under occlusions, pose alterations and expression changes.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent470564 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherAcademy Publisheren_US
dc.publisher.placeFinlanden_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom1en_US
dc.relation.ispartofpageto10en_US
dc.relation.ispartofissue4en_US
dc.relation.ispartofjournalJournal of Multimediaen_US
dc.relation.ispartofvolume1en_US
dc.rights.retentionNen_AU
dc.subject.fieldofresearchcode280207en_US
dc.subject.fieldofresearchcode280208en_US
dc.titleRobust Face Recognition by Hierarchical Kernel Associative Memory Models Based on Spatial Domain Gabor Transformsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2006 Academy Publisher. The attached file is reproduced here in accordance with the copyright policy of the publisher.en_AU
gro.date.issued2006
gro.hasfulltextFull Text


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