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dc.contributor.authorBhat, Kiran S.en_US
dc.contributor.authorGoldenthal, Ronyen_US
dc.contributor.authorYe, Yutingen_US
dc.contributor.authorMallet, Ronalden_US
dc.contributor.authorKoperwas, Michaelen_US
dc.contributor.editorTheodore Kim and Robert Sumneren_US
dc.date.accessioned2016-02-18T12:01:19Z
dc.date.available2016-02-18T12:01:19Z
dc.date.issued2013en_US
dc.identifier.isbn978-1-4503-2132-7en_US
dc.identifier.issn1727-5288en_US
dc.identifier.urihttp://dx.doi.org/10.1145/2485895.2485915en_US
dc.description.abstractHuman beings are naturally sensitive to subtle cues in facial expressions, especially in areas of the eyes and mouth. Current facial motion capture methods fail to accurately reproduce motions in those areas due to multiple limitations. In this paper, we present a new performance capture method that focuses on the perceptually important contour features on the face. Additionally, the output of our two-step optimization scheme is also easily editable by an animator. To illustrate the strength of our system, we present a retargeting application that incorporates primary contour lines to map a performance with lip-sync from an actor to a creature.en_US
dc.publisherACM SIGGRAPH / Eurographics Associationen_US
dc.subjectCR Categoriesen_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectAnimationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectAnimationen_US
dc.subjectMotion captureen_US
dc.subjectKeywordsen_US
dc.subjectfacial animationen_US
dc.subjectperformance captureen_US
dc.subjectfacial retargetingen_US
dc.subjectcontoursen_US
dc.subjectcurvesen_US
dc.subjectblendshapeen_US
dc.subjectcorrectivesen_US
dc.titleHigh Fidelity Facial Animation Capture and Retargeting With Contoursen_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animationen_US
dc.description.sectionheadersAnimating the Human Bodyen_US
dc.identifier.doi10.1145/2485895.2485915en_US
dc.identifier.pages7-14en_US


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