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dc.contributor.authorCarrigan, Emmaen_US
dc.contributor.authorHoyet, Ludovicen_US
dc.contributor.authorMcDonnell, Rachelen_US
dc.contributor.authorAvril, Quentinen_US
dc.contributor.editorDiamanti, Olga and Vaxman, Amiren_US
dc.date.accessioned2018-04-14T18:32:48Z
dc.date.available2018-04-14T18:32:48Z
dc.date.issued2018
dc.identifier.issn1017-4656
dc.identifier.urihttp://dx.doi.org/10.2312/egs.20181042
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egs20181042
dc.description.abstractOur work is a perceptual study into the effects of training poses on the Example-Based Facial Rigging (EBFR) method. We analyse the output of EBFR given a set of training poses to see how well the results reproduced our ground truth actor scans compared to a Deformation Transfer approach. While EBFR produced better results overall, there were cases that did not see any improvement. While some of these results may be explained by lack of sufficient training poses for the area of the face in question, we found that certain lip poses were not improved by training, despite a large number of mouth training poses supplied.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation CCS Concepts
dc.subjectComputing methodologies
dc.subjectMesh models
dc.subjectAnimation
dc.titleA Preliminary Investigation into the Impact of Training for Example-Based Facial Blendshape Creationen_US
dc.description.seriesinformationEG 2018 - Short Papers
dc.description.sectionheadersMethods and Applications, User Studies
dc.identifier.doi10.2312/egs.20181042
dc.identifier.pages49-52


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