2008 | OriginalPaper | Buchkapitel
Evaluating Data-Driven Style Transformation for Gesturing Embodied Agents
verfasst von : Alexis Heloir, Michael Kipp, Sylvie Gibet, Nicolas Courty
Erschienen in: Intelligent Virtual Agents
Verlag: Springer Berlin Heidelberg
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This paper presents an empirical evaluation of a method called “Style transformation” which consists of modifying an existing gesture sequence in order to obtain a new style where the transformation parameters have been extracted from an existing captured sequence. This data-driven method can be used either to enhance key-framed gesture animations or to taint captured motion sequences according to a desired style.