Learning Controls for Blend Shape Based Realistic Facial Animation

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dc.contributor.authorJoshi, Pushkaren_US
dc.contributor.authorTien, Wen C.en_US
dc.contributor.authorDesbrun, Mathieuen_US
dc.contributor.authorPighin, Frédéricen_US
dc.contributor.editorD. Breen and M. Linen_US
dc.date.accessioned2014-01-29T06:32:23Z
dc.date.available2014-01-29T06:32:23Z
dc.date.issued2003en_US
dc.description.abstractBlend shape animation is the method of choice for keyframe facial animation: a set of blend shapes (key facial expressions) are used to define a linear space of facial expressions. However, in order to capture a significant range of complexity of human expressions, blend shapes need to be segmented into smaller regions where key idiosyncracies of the face being animated are present. Performing this segmentation by hand requires skill and a lot of time. In this paper, we propose an automatic, physically-motivated segmentation that learns the controls and parameters directly from the set of blend shapes. We show the usefulness and efficiency of this technique for both, motion-capture animation and keyframing. We also provide a rendering algorithm to enhance the visual realism of a blend shape model.en_US
dc.description.seriesinformationSymposium on Computer Animationen_US
dc.identifier.isbn1-58113-659-5en_US
dc.identifier.issn1727-5288en_US
dc.identifier.urihttps://doi.org/10.2312/SCA03/187-192en_US
dc.publisherThe Eurographics Associationen_US
dc.titleLearning Controls for Blend Shape Based Realistic Facial Animationen_US
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SCA 03: Eurographics/SIGGRAPH Symposium on Computer Animation