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dc.contributor.authorHajati, Farshiden_US
dc.contributor.authorRaie, Abolghasemen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.editorIEEEen_US
dc.date.accessioned2017-05-03T15:01:10Z
dc.date.available2017-05-03T15:01:10Z
dc.date.issued2010en_US
dc.date.modified2011-04-19T07:03:28Z
dc.identifier.refurihttp://www.icarcv.org/2010/en_AU
dc.identifier.doi10.1109/ICARCV.2010.5707848en_AU
dc.identifier.urihttp://hdl.handle.net/10072/38052
dc.description.abstractIn recent years, 3D face recognition has become a popular solution to deal with the problem of pose-invariant face recognition. The majority of 3D face data are, however, actually 2.5D which are sensitive to pose variations. This paper presents a novel Geodesic Texture Warping (GTW) solution for 2.5D poseinvariant face recognition. In this method, we use the geodesic distance computed on a 2.5D face scan to warp the texture of a rotated face to that of a frontal one to perform matching. A feasibility and effectiveness investigation for the proposed method is conducted using a wide range of experiments including samples with different face rotations. The encouraging experimental results demonstrate that the proposed method achieves much higher accuracy than the state-of-the-art method with a low computational cost.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent707376 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeSingaporeen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameThe 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010)en_US
dc.relation.ispartofconferencetitle11th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2010 Proceedingsen_US
dc.relation.ispartofdatefrom2010-12-07en_US
dc.relation.ispartofdateto2010-12-10en_US
dc.relation.ispartoflocationSingaporeen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchComputer Visionen_US
dc.subject.fieldofresearchcode080104en_US
dc.titlePose-Invariant 2.5D Face Recognition using Geodesic Texture Warpingen_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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