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dc.contributor.authorHajati, F
dc.contributor.authorRaie, AA
dc.contributor.authorGao, Y
dc.contributor.editorPatrick Kellenberger
dc.date.accessioned2017-05-03T15:01:11Z
dc.date.available2017-05-03T15:01:11Z
dc.date.issued2010
dc.date.modified2011-04-18T06:55:04Z
dc.identifier.isbn9780769542713
dc.identifier.refurihttp://dicta2010.conference.nicta.com.au/
dc.identifier.doi10.1109/DICTA.2010.52
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent407676 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.publisher.placeLos Alamitos, CA, USA
dc.publisher.urihttp://dicta2010.conference.nicta.com.au/
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencenameInternational Conference on Digital Image Computing: Techniques and Applications (DICTA 2010)
dc.relation.ispartofconferencetitleProceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010
dc.relation.ispartofdatefrom2010-12-01
dc.relation.ispartofdateto2010-12-03
dc.relation.ispartoflocationSydney, Australia
dc.relation.ispartofpagefrom249
dc.relation.ispartofpageto254
dc.rights.retentionY
dc.subject.fieldofresearchComputer vision
dc.subject.fieldofresearchcode460304
dc.titleExpression-Invariant 3D Face Recognition using Patched Geodesic Texture Transform
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 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.
gro.date.issued2010
gro.hasfulltextFull Text
gro.griffith.authorGao, Yongsheng


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

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