Hierarchical spacetime control

Zicheng Liu, S. Gortler, Michael F. Cohen
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引用次数: 224

Abstract

Specifying the motion of an animated linked figure such that it achieves given tasks (e.g., throwing a ball into a basket) and performs the tasks in a realistic fashion (e.g., gracefully, and following physical laws such as gravity) has been an elusive goal for computer animators. The spacetime constraints paradigm has been shown to be a valuable approach to this problem, but it suffers from computational complexity growth as creatures and tasks approach those one would like to animate. The complexity is shown to be, in part, due to the choice of finite basis with which to represent the trajectories of the generalized degrees of freedom. This paper describes new features to the spacetime constraints paradigm to address this problem. The functions through time of the generalized degrees of freedom are reformulated in a hierarchical wavelet representation. This provides a means to automatically add detailed motion only where it is required, thus minimizing the number of discrete variables. In addition the wavelet basis is shown to lead to better conditioned systems of equations and thus faster convergence.
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分层时空控制
指定动画链接图形的运动,使其完成给定的任务(例如,将球扔进篮子)并以逼真的方式执行任务(例如,优雅地遵循物理定律,如重力)一直是计算机动画师难以捉摸的目标。时空约束范式已被证明是解决这一问题的一种有价值的方法,但随着生物和任务接近那些想要动画的对象,它的计算复杂性不断增长。其复杂性部分是由于选择有限基来表示广义自由度的轨迹。本文描述了时空约束范式的新特征来解决这个问题。将广义自由度随时间的函数用分层小波表示重新表述。这提供了一种方法,可以在需要的地方自动添加详细的运动,从而最大限度地减少离散变量的数量。此外,小波基被证明可以产生更好的条件方程组,从而更快地收敛。
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