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dc.contributor.authorDahm, Nicholasen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.editorIAPRen_US
dc.date.accessioned2017-05-03T13:11:24Z
dc.date.available2017-05-03T13:11:24Z
dc.date.issued2010en_US
dc.date.modified2011-03-16T07:56:56Z
dc.identifier.refurihttp://www.icpr2010.org/en_AU
dc.identifier.doi10.1109/ICPR.2010.965en_AU
dc.identifier.urihttp://hdl.handle.net/10072/37187
dc.description.abstractMany Face Recognition techniques focus on 2D- 2D comparison or 3D-3D comparison, however few techniques explore the idea of cross-dimensional comparison. This paper presents a novel face recognition approach that implements cross-dimensional comparison to solve the issue of pose invariance. Our approach implements a Gabor representation during comparison to allow for variations in texture, illumination, expression and pose. Kernel scaling is used to reduce comparison time during the branching search, which determines the facial pose of input images. The conducted experiments prove the viability of this approach, with our larger kernel experiments returning 91.6% - 100% accuracy on a database comprised of both local data, and data from the USF HumanID 3D database.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent1205925 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEE Computer Societyen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameThe 20th International Conference on Pattern Recognition (ICPR 2010)en_US
dc.relation.ispartofconferencetitleProceedings of the 20th International Conference on Pattern Recognition (ICPR 2010)en_US
dc.relation.ispartofdatefrom2010-08-23en_US
dc.relation.ispartofdateto2010-08-26en_US
dc.relation.ispartoflocationIstanbul, Turkeyen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchPattern Recognition and Data Miningen_US
dc.subject.fieldofresearchComputer Visionen_US
dc.subject.fieldofresearchcode080109en_US
dc.subject.fieldofresearchcode080104en_US
dc.titleA Novel Pose Invariant Face Recognition Approach Using A 2D-3D Searching Strategyen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2010 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.issued2010
gro.hasfulltextFull Text


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

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