Paper Info
Title
Evaluating Data-Driven Style Transformation for Gesturing Embodied Agents
Abstract
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.
Year
DOI
Venue
2008
10.1007/978-3-540-85483-8_22
IVA
Keywords
DocType
Volume
embodied agents,new style,style transformation,existing gesture sequence,data-driven style transformation,key-framed gesture animation,empirical evaluation,transformation parameter,data-driven method,embodied agent
Conference
5208
ISSN
Citations 
PageRank 
0302-9743
4
0.47
References 
Authors
7
4
Name
Order
Citations
PageRank
Alexis Heloir118018.54
Michael Kipp231124.60
Sylvie Gibet336752.50
Nicolas Courty442044.55