Automatic motion synthesis for 3D mass-spring models
Automatic motion synthesis for 3D mass-spring models
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DOI：
10.1007/s003710050086
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发表时间：
1997-02
期刊：
影响因子：
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通讯作者：
J. Christensen;J. Marks;J. Ngo
中科院分区：
文献类型：
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作者：
J. Christensen;J. Marks;J. Ngo
我们描述了如何自动合成用于机车任务的运动控制器，该运动控制器涉及建模为3D质量-弹簧晶格的动画角色。运动控制器基于经过的时间而不是物理状态来确定驱动序列；使用全局晶格变形的规范集来经济地表示驱动；并且使用随机搜索来确定控制器参数的有效值。我们的算法生成的控制器可以在标准工作站上在不到一小时的时间内为简单的机车任务生成风格独特、视觉上可信的运动，这比3D关节联动模型的运动合成的同类方法快一个数量级以上。关键词：时空约束、控制器综合、随机优化。
We describe how to automatically synthesize motion controllers for locomotive tasks involving animated characters modeled as 3D mass-spring lattices. The motion controllers determine an actuation sequence based on elapsed time, not physical state; actuation is represented economically using a canonical set of global lattice deformations; and stochastic search is used to determine effective values for the controller parameters. Our algorithm generates controllers that produce stylistic, visually plausible motion for simple locomotive tasks in under an hour on a standard workstation, which is more than an order of magnitude faster than comparable approaches to motion synthesis for 3D articulated-linkage models. Key Words: Spacetime constraints, controller synthesis, stochastic optimization.