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Generating Statistically Plausible Body Shape Variations for Perception Studies

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2016

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Gesellschaft für Informatik e.V.

Zusammenfassung

We 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.

Beschreibung

Suessmuth, Jochen; Colaianni, Matteo; Zagel, Christian (2016): Generating Statistically Plausible Body Shape Variations for Perception Studies. Mensch und Computer 2016 - Tagungsband. DOI: 10.18420/muc2016-mci-0263. Aachen: Gesellschaft für Informatik e.V.. MCI Poster Session. Aachen. 4.-7. September 2016

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