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Modeling continuous shape change for facial animation
dc.contributor.authorFaraway, Julian J.en_US
dc.date.accessioned2006-09-11T19:37:06Z
dc.date.available2006-09-11T19:37:06Z
dc.date.issued2004-10en_US
dc.identifier.citationFaraway, Julian J.; (2004). "Modeling continuous shape change for facial animation." Statistics and Computing 14(4): 357-363. <http://hdl.handle.net/2027.42/47977>en_US
dc.identifier.issn0960-3174en_US
dc.identifier.issn1573-1375en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/47977
dc.description.abstractThe movement of landmarks on the human face can be recorded in 3D using motion capture equipment. We describe methods for the analysis of data collected on groups of subjects with a view to describing and assessing the differences between the facial motions of those groups. We focus on the smile motion in particular. The methods presented can be used more generally for continuous shape change data.en_US
dc.format.extent134956 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherStatisticsen_US
dc.subject.otherData Structures, Cryptology and Information Theoryen_US
dc.subject.otherNumeric Computingen_US
dc.subject.otherMathematical Modeling and Industrial Mathematicsen_US
dc.subject.otherStatistics, Generalen_US
dc.subject.otherFunctional Data Analysisen_US
dc.subject.otherShape Dataen_US
dc.subject.otherRegistrationen_US
dc.subject.otherB-splinesen_US
dc.subject.otherMultidimensional Scalingen_US
dc.titleModeling continuous shape change for facial animationen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Statistics, University of Michigan, Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/47977/1/11222_2004_Article_5273891.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/B:STCO.0000039485.52129.eden_US
dc.identifier.sourceStatistics and Computingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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