Locomotion Synthesis for Digital Actors

Julien Pettré 1
1 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
IRISA-D6 - MEDIA ET INTERACTIONS, Inria Rennes – Bretagne Atlantique , UR2 - Université de Rennes 2
Abstract : Motion capture technologies are commonly used in the field of computer animation for interactive applications. They enable synthesizing highly realistic motions for human figures, but they suffer a lack of flexibility. Editing is required to answer the needs of interactivity, or to match the motion with some new geometrical and environmental constraints. During the last two decades, the computer animation research community expended a great deal of effort to use prerecorded sets of motion capture to synthesize animations with unknown (a priori) constraints. This paper provides a short overview on these recent motion capture edition techniques. We also describe more into details a method for synthesizing locomotion with continuous control over velocity parameters. We expect these previous works to be of interest for robotocists who attempt to control humanoid robots motion by imitation techniques, and who first need to be able to synthesize with control input motions.
Type de document :
Chapitre d'ouvrage
Mombaur, Katja and Berns, Karsten. Modeling, Simulation and Optimization of Bipedal Walking, 18, Springer Berlin Heidelberg, pp.187-198, 2013, 978-3-642-36367-2. 〈10.1007/978-3-642-36368-9_15〉
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https://hal.inria.fr/hal-01059507
Contributeur : Julien Pettré <>
Soumis le : lundi 1 septembre 2014 - 10:58:32
Dernière modification le : vendredi 16 novembre 2018 - 01:39:35

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Julien Pettré. Locomotion Synthesis for Digital Actors. Mombaur, Katja and Berns, Karsten. Modeling, Simulation and Optimization of Bipedal Walking, 18, Springer Berlin Heidelberg, pp.187-198, 2013, 978-3-642-36367-2. 〈10.1007/978-3-642-36368-9_15〉. 〈hal-01059507〉

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