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dc.contributor.authorHajati, Farshiden_US
dc.contributor.authorRaie, Abolghasemen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.editorPatrick Kellenbergeren_US
dc.date.accessioned2017-05-03T15:01:11Z
dc.date.available2017-05-03T15:01:11Z
dc.date.issued2010en_US
dc.date.modified2011-04-18T06:55:04Z
dc.identifier.refurihttp://dicta2010.conference.nicta.com.au/en_AU
dc.identifier.doi10.1109/DICTA.2010.52en_AU
dc.identifier.urihttp://hdl.handle.net/10072/37733
dc.description.abstractNumerous methods have been proposed for the expression-invariant 3D face recognition, but a little attention is given to the local-based representation for the texture of the 3D images. In this paper, we propose an expression-invariant 3D face recognition approach based on the locally extracted moments of the texture when only one exemplar per person is available. We use a geodesic texture transform accompanied by Pseudo Zernike Moments to extract local feature vectors from the texture of a face. An extensive experimental investigation is conducted using publicly available BU-3DFE face databases covering face recognition under expression variations. The performance of the proposed method is compared with the performance of two benchmark approaches. The encouraging experimental results demonstrate that the proposed method can be used for 3D face recognition in single model databases.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent407676 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEE Computer Societyen_US
dc.publisher.placeLos Alamitos, CA, USAen_US
dc.publisher.urihttp://dicta2010.conference.nicta.com.au/en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameInternational Conference on Digital Image Computing: Techniques and Applications (DICTA 2010)en_US
dc.relation.ispartofconferencetitleProceedings 2010 Digital Image Computing: Techniques and Applications DICTA 2010en_US
dc.relation.ispartofdatefrom2010-12-01en_US
dc.relation.ispartofdateto2010-12-03en_US
dc.relation.ispartoflocationSydney, Australiaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchComputer Visionen_US
dc.subject.fieldofresearchcode080104en_US
dc.titleExpression-Invariant 3D Face Recognition using Patched Geodesic Texture Transformen_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 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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