Show simple item record

dc.contributor.authorZhang, BL
dc.contributor.authorCerone, P
dc.contributor.authorGao, Y
dc.date.accessioned2017-05-03T14:12:56Z
dc.date.available2017-05-03T14:12:56Z
dc.date.issued2006
dc.date.modified2008-01-17T08:27:24Z
dc.identifier.issn1796-2048
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent470564 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherAcademy Publisher
dc.publisher.placeFinland
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto10
dc.relation.ispartofissue4
dc.relation.ispartofjournalJournal of Multimedia
dc.relation.ispartofvolume1
dc.rights.retentionN
dc.subject.fieldofresearchComputer Software
dc.subject.fieldofresearchcode0803
dc.titleRobust Face Recognition by Hierarchical Kernel Associative Memory Models Based on Spatial Domain Gabor Transforms
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyright© 2006 Academy Publisher. The attached file is reproduced here in accordance with the copyright policy of the publisher.
gro.date.issued2006
gro.hasfulltextFull Text
gro.griffith.authorGao, Yongsheng


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record