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A Quadratic Deformation Model for Facial Expression Recognition

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dc.contributor.authorObaid, Mohammad
dc.contributor.authorMukundan, R
dc.contributor.authorGoecke, Roland
dc.contributor.authorBillinghurst, Mark
dc.contributor.authorSeichter, Hartmut
dc.coverage.spatialMelbourne Australia
dc.date.accessioned2015-12-07T22:30:58Z
dc.date.createdDecember 1-3 2009
dc.date.issued2009
dc.date.updated2016-02-24T11:13:52Z
dc.description.abstractIn this paper, we propose a novel approach for recognizing facial expressions based on using an Active Appearance Model facial feature tracking system with the quadratic deformation model representations of facial expressions. Thirty seven Facial Feature
dc.identifier.isbn9780769538662
dc.identifier.urihttp://hdl.handle.net/1885/22571
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesDigital Image Computing: Techniques and Applications (DICTA 2009)
dc.sourceProceedings of the Digital Image Computing: Techniques and Applications (DICTA 2009)
dc.source.urihttp://www.informatik.uni-trier.de/~ley/db/conf/dicta/dicta2009.html
dc.subjectKeywords: Active appearance models; Cohn-Kanade database; Deformation models; Euclidean distance measure; Facial expression recognition; Facial Expressions; Facial feature points; Facial feature tracking; Feature point; Mpeg-4 facial animation parameters; Real-time Active appearance models; Facial expression recognition; Facial feature tracking; Quadratic deformation models
dc.titleA Quadratic Deformation Model for Facial Expression Recognition
dc.typeConference paper
local.bibliographicCitation.lastpage270
local.bibliographicCitation.startpage264
local.contributor.affiliationObaid, Mohammad, University of Canterbury
local.contributor.affiliationMukundan, R, University of Canterbury
local.contributor.affiliationGoecke, Roland, College of Engineering and Computer Science, ANU
local.contributor.affiliationBillinghurst, Mark, University of Canterbury
local.contributor.affiliationSeichter, Hartmut, University of Canterbury
local.contributor.authoruidGoecke, Roland, u9812468
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu4607519xPUB22
local.identifier.doi10.1109/DICTA.2009.51
local.identifier.scopusID2-s2.0-77950333791
local.identifier.thomsonID000290469200039
local.type.statusPublished Version

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