Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1171
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dc.contributorDepartment of Computing-
dc.creatorCheung, KH-
dc.creatorYou, J-
dc.creatorKong, WKA-
dc.creatorZhang, DD-
dc.date.accessioned2014-12-11T08:23:28Z-
dc.date.available2014-12-11T08:23:28Z-
dc.identifier.isbn0-7695-2244-0-
dc.identifier.urihttp://hdl.handle.net/10397/1171-
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.rights© 2004 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.subjectComputational methodsen_US
dc.subjectFeature extractionen_US
dc.subjectImage analysisen_US
dc.subjectImage retrievalen_US
dc.subjectMathematical modelsen_US
dc.subjectProblem solvingen_US
dc.titleA study of aggregated 2D Gabor features on appearance-based face recognitionen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: Wai-Kin Kongen_US
dc.description.otherinformationAuthor name used in this publication: David Zhangen_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractExisting approaches to holistic appearance based face recognition require a high dimensional feature space to attain fruitful performance. We have proposed a relatively low feature dimensional scheme to deal with the face recognition problem. We use the aggregated responses of 2D Gabor filters to represent face images. We have investigated the effect of "duplicate" images and the effect of facial expressions. Our results show that the proposed method is more robust than the PCA-based method under varying facial expressions, especially in recognizing "duplicate" images.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of the third International Conference on Image and Graphics : Hong Kong, China, 18-20 December 2004, p. 310-313-
dcterms.issued2004-
dc.identifier.scopus2-s2.0-17044363461-
dc.identifier.rosgroupidr21717-
dc.description.ros2004-2005 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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