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dc.contributor.authorGao, YS
dc.contributor.authorLeung, MKH
dc.contributor.authorHui, SC
dc.contributor.authorTananda, MW
dc.date.accessioned2017-05-03T14:12:52Z
dc.date.available2017-05-03T14:12:52Z
dc.date.issued2003
dc.date.modified2010-10-12T06:54:41Z
dc.identifier.issn1083-4427
dc.identifier.doi10.1109/TSMCA.2003.817057
dc.identifier.urihttp://hdl.handle.net/10072/5921
dc.description.abstractThe automatic recognition of facial expression presents a significant challenge to the pattern analysis and man-machine interaction research community. Recognition from a single static image is particularly a difficult task. In this paper, we present a methodology for facial expression recognition from a single static image using line-based caricatures. The recognition process is completely automatic. It also addresses the computational expensive problem and is thus suitable for real-time applications. The proposed approach uses structural and geometrical features of a user sketched expression model to match the line edge map (LEM) descriptor of an input face image. A disparity measure that is robust to expression variations is defined. The effectiveness of the proposed technique has been evaluated and promising results are obtained. This work has proven the proposed idea that facial expressions can be characterized and recognized by caricatures.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent732606 bytes
dc.format.extent38810 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglish
dc.language.isoen_AU
dc.publisherIEEE
dc.publisher.placeUSA
dc.relation.ispartofpagefrom407
dc.relation.ispartofpageto412
dc.relation.ispartofissue3
dc.relation.ispartofjournalIEEE Transactions on Systems, Man and Cybernetics - Part A
dc.relation.ispartofvolume33
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode09
dc.titleFacial Expression Recognition from Line-based Caricatures
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2003 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.issued2003
gro.hasfulltextFull Text
gro.griffith.authorGao, Yongsheng


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