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dc.contributor.authorZhang, Paulen_US
dc.contributor.authorZhao, Sanqiangen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.editorIAPRen_US
dc.date.accessioned2017-04-24T12:26:40Z
dc.date.available2017-04-24T12:26:40Z
dc.date.issued2008en_US
dc.date.modified2009-04-22T06:52:07Z
dc.identifier.doi10.1109/ICPR.2008.4761890en_AU
dc.identifier.urihttp://hdl.handle.net/10072/22559
dc.description.abstractRecently, psychological studies showed that averaging human face images greatly improves the performance of face recognition under various pose, illumination, expression, and/or aging conditions. This paper investigates quantitatively the mechanism of the face averaging process in face recognition specifically against pose variations. Facilitated with 3D face dataset, the process of face averaging is tested on face images free from human errors and misalignments. Single images are chosen as gallery and the averaged views as probe in all the experiments. Three different scenarios are experimented, i.e., identification using single gallery images, identification using different gallery images, and averaging using unbalanced range of input image. The experimental results show that the averaging process under pose variations is equivalent to generating a face view in an average pose and the improvement in face recognition is subject to the conditions that the gallery pose is close to the average probe pose.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent478360 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEE Computer Societyen_US
dc.publisher.placeLos Alamitos, California, USAen_US
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofconferencenameThe 19th International Conference on Pattern Recognition (ICPR)en_US
dc.relation.ispartofconferencetitleProceedings of the 19th International Conference on Pattern Recognition (ICPR)en_US
dc.relation.ispartofdatefrom2008-12-08en_US
dc.relation.ispartofdateto2008-12-11en_US
dc.relation.ispartoflocationTampa, Florida, USAen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280208en_US
dc.subject.fieldofresearchcode280207en_US
dc.titleOn Averaging Face Images for Recognition under Pose Variationsen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2008 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_AU
gro.date.issued2008
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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