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Momentum-based Parameterization of Dynamic Character Motion (2004)
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BibTeX
@MISC{Abe04momentum-basedparameterization,
author = {Yeuhi Abe and C. Karen Liu and Zoran Popovic},
title = {Momentum-based Parameterization of Dynamic Character Motion},
year = {2004}
}
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Abstract
This paper presents a system for rapid editing of highly dynamic motion capture data. At the heart of this system is an optimization algorithm that can transform the captured motion so that it satisfies high-level user constraints while enforcing that the linear and angular momentum of the motion remain physically plausible. Unlike most previous approaches to motion editing, our algorithm does not require pose specification or model reduction, and the user only need specify high-level changes to the input motion. To preserve the dynamic behavior of the input motion, we introduce a spline-based parameterization that matches the linear and angular momentum patterns of the motion capture data. Because our algorithm enables rapid convergence by presenting a good initial state of the optimization, the user can efficiently generate a large number of realistic motions from a single input motion. The algorithm
Keyphrases
momentum-based parameterization dynamic character motion input motion dynamic motion capture data pose specification motion editing high-level change large number angular momentum single input motion rapid editing spline-based parameterization high-level user constraint dynamic behavior angular momentum pattern captured motion optimization algorithm motion capture data rapid convergence realistic motion model reduction previous approach good initial state
