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A Nonlinear Discriminative Approach to AAM Fitting

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Saragih, Jason; Goecke, Roland

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The Active Appearance Model (AAM) is a powerful generative method for modeling and registering deformable visual objects. Most methods for AAM fitting utilize a linear parameter update model in an iterative framework. Despite its popularity, the scope of

dc.contributor.authorSaragih, Jason
dc.contributor.authorGoecke, Roland
dc.coverage.spatialRio de Janeiro Brazil
dc.date.accessioned2015-12-07T22:27:03Z
dc.date.createdOctober 14-20 2007
dc.identifier.urihttp://hdl.handle.net/1885/21718
dc.description.abstractThe Active Appearance Model (AAM) is a powerful generative method for modeling and registering deformable visual objects. Most methods for AAM fitting utilize a linear parameter update model in an iterative framework. Despite its popularity, the scope of
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE International Conference on Computer Vision (ICCV 2007)
dc.sourceProceedings of ICCV 2007
dc.subjectKeywords: Artificial intelligence; Computer networks; Computer vision; Face recognition; Face databases; International conferences; Iterative methods
dc.titleA Nonlinear Discriminative Approach to AAM Fitting
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2007
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu4334215xPUB18
local.type.statusPublished Version
local.contributor.affiliationSaragih, Jason, College of Engineering and Computer Science, ANU
local.contributor.affiliationGoecke, Roland, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage8
local.identifier.doi10.1109/ICCV.2007.4409106
dc.date.updated2015-12-07T09:48:52Z
local.identifier.scopusID2-s2.0-50649094505
CollectionsANU Research Publications

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