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Published Articles >> Table of Contents >> Abstract
Computer Graphics and Applications, 12th Pacific Conference on (PG'04)
pp. 121-130
Personalised Real-Time Idle Motion Synthesis
Arjan Egges, MIRALab - University of Geneva, Switzerland
Tom Molet, MIRALab - University of Geneva, Switzerland
Nadia Magnenat-Thalmann, MIRALab - University of Geneva, Switzerland
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PCCGA.2004.1348342
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| Abstract |
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In this paper, we propose a novel animation approach based on Principal Component Analysis that allows generating two layers of subtle motions: small posture variations and personalised change of balance. Such a motion generator is needed in many cases when one attempts to create an animation sequence out of a set of existing clips. In nature there exists no motionless character, while in computer animation we often encounter cases where no planned actions, such as waiting for another actor finishing his/her part, is implemented as a stop/frozen animation. We identify many situations where a flexible idle motion generator can help: from synchronisation of speech/body animation duration, to dynamic creation of stand still variations in between two active plays. Our approach overcomes the limitations of using a small set of existing clips as a basis for synthesizing idle motions, such as unnatural repetition of movements and difficulties to insert idle motions into an animation without breaking its continuity. A realistic animation is obtained by blending small posture variations with personalised balance shifting animations.
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 Additional Information
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Citation:
Arjan Egges, Tom Molet, Nadia Magnenat-Thalmann,
"Personalised Real-Time Idle Motion Synthesis,"
pg,
pp. 121-130,
Computer Graphics and Applications, 12th Pacific Conference on (PG'04),
2004
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