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dc.contributor.authorSuessmuth, Jochen
dc.contributor.authorColaianni, Matteo
dc.contributor.authorZagel, Christian
dc.contributor.editorPrinz, Wolfgang
dc.contributor.editorBorchers, Jan
dc.contributor.editorJarke, Matthias
dc.date.accessioned2017-06-17T20:14:15Z
dc.date.available2017-06-17T20:14:15Z
dc.date.issued2016
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/213
dc.description.abstractWe present a novel method for morphing 3D body scans according to semantic constraints for generating realistic variations of existing body shapes. By non-linearly optimizing the body shape in a statistical shape space, we ensure that user defined constraints are fulfilled while the main characteristics of a body are still maintained. We demonstrate the quality of the proposed algorithm on various real world use cases.
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2016 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subject3D avatars
dc.subjectbody scans
dc.subjectperception studies
dc.subjectmorphing
dc.titleGenerating Statistically Plausible Body Shape Variations for Perception Studies
dc.typeText/Conference Poster
dc.pubPlaceAachen
mci.document.qualitydigidocde_DE
mci.conference.sessiontitleMCI Poster Session
mci.conference.locationAachen
mci.conference.date4.-7. September 2016
dc.identifier.doi10.18420/muc2016-mci-0263


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