Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/197
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dc.contributorDepartment of Computing-
dc.creatorYang, J-
dc.creatorZhang, DD-
dc.creatorYang, JY-
dc.date.accessioned2014-12-11T08:24:45Z-
dc.date.available2014-12-11T08:24:45Z-
dc.identifier.issn1550-5499-
dc.identifier.urihttp://hdl.handle.net/10397/197-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectFace recognitionen_US
dc.subjectPrincipal component analysisen_US
dc.subjectIndependent component analysisen_US
dc.subjectICA architectureen_US
dc.titleIs ICA significantly better than PCA for face recognition?en_US
dc.typeConference Paperen_US
dcterms.abstractThe standard PCA was always used as baseline algorithm to evaluate ICA-based face recognition systems in the previous research. In this paper, we examine the two architectures of ICA for image representation and find that ICA Architecture I involves a PCA process by vertically centering (PCA I), while ICA Architecture II involves a whitened PCA process by horizontally centering (PCA II). So, it is reasonable to use these two PCA versions as baseline algorithms to revaluate the ICA-based face recognition systems. The experiments were performed on the FERET face database. The experimental results show there is no significant performance differences between ICA Architecture I (II) and PCA I (II), although ICA Architecture II significantly outperforms the standard PCA. It can be concluded that the performance of ICA strongly depends on its involved PCA process. The pure ICA projection has little effect on the performance of face recognition.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of the Tenth IEEE International Conference on Computer Vision (ICCV’05)-
dcterms.issued2005-
dc.identifier.isiWOS:000233155100026-
dc.identifier.scopus2-s2.0-33745933502-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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