Animating Non-Humanoid Characters with Human Motion Data

dc.contributor.authorYamane, Katsuen_US
dc.contributor.authorAriki, Yukaen_US
dc.contributor.authorHodgins, Jessicaen_US
dc.contributor.editorMZoran Popovic and Miguel Otaduyen_US
dc.date.accessioned2014-01-29T07:51:32Z
dc.date.available2014-01-29T07:51:32Z
dc.date.issued2010en_US
dc.description.abstractThis paper presents a method for generating animations of non-humanoid characters from human motion capture data. Characters considered in this work have proportion and/or topology significantly different from humans, but are expected to convey expressions and emotions through body language that are understandable to human viewers. Keyframing is most commonly used to animate such characters. Our method provides an alternative for animating non-humanoid characters that leverages motion data from a human subject performing in the style of the target character. The method consists of a statistical mapping function learned from a small set of corresponding key poses, and a physics-based optimization process to improve the physical realism.We demonstrate our approach on three characters and a variety of motions with emotional expressionsen_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animationen_US
dc.identifier.isbn978-3-905674-27-9en_US
dc.identifier.issn1727-5288en_US
dc.identifier.urihttps://doi.org/10.2312/SCA/SCA10/169-178en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Animationen_US
dc.titleAnimating Non-Humanoid Characters with Human Motion Dataen_US
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