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dc.contributor.authorJin, Taeilen_US
dc.contributor.authorKim, Meekyungen_US
dc.contributor.authorLee, Sung-Heeen_US
dc.contributor.editorBernhard Thomaszewski and KangKang Yin and Rahul Narainen_US
dc.date.accessioned2017-12-31T10:43:01Z
dc.date.available2017-12-31T10:43:01Z
dc.date.issued2017
dc.identifier.isbn978-1-4503-5091-4
dc.identifier.urihttp://dx.doi.org/10.1145/3099564.3106647
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1145/3099564-3106647
dc.description.abstractApplying motion capture data for multi-person interaction to virtual characters is challenging because one needs to preserve interaction semantics in addition to satisfying the general requirements for motion retargeting, such as preventing penetration and preserving naturalness. An e cient method for representing the scene semantics of interaction motions is to de ne the spatial relationships between body parts of characters. However, existing methods of this kind consider only character skeleton, and thus may require post-processing to re ne the interaction motions and remove artifacts from the viewpoint of skin meshes. This paper proposes a novel method for retargeting interaction motions with respect to character skins. To this end, we introduce the aura mesh surrounding a character's skin in order to represent skin-level spatial relationships between body parts. Using the aura mesh, we can retarget interaction motions while preserving skin-level spatial relationships and reducing skin inter-penetrations.en_US
dc.publisherACMen_US
dc.subjectComputing methodologies Animation
dc.subjectmotion retargeting
dc.subjectspatial relationship
dc.subjectclose interaction
dc.titleMotion Retargeting to Preserve Spatial Relationship between Skinned Charactersen_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters
dc.description.sectionheadersPoster Abstracts
dc.identifier.doi10.1145/3099564.3106647
dc.identifier.pagesTaeil Jin, Meekyung Kim, and Sung-Hee Lee-Computing methodologies Animation; motion retargeting, spatial relationship, close interaction


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