Motion Parameterization with Inverse Blending
Motion Parameterization with Inverse Blending
复制标题
通过逆向混合进行运动参数化
DOI：
--
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Marcelo Kallmann
中科院分区：
文献类型：
--
作者：
Yazhou Huang;Marcelo Kallmann
运动混合是一种流行的运动合成技术，它根据混合权重参数化感兴趣的高级特征来插值相似的运动示例。在本文中，我们提出了一个优化框架，用于确定能够产生精确满足多个给定空间约束的运动的混合权重。我们所提出的方法比以前的方法更简单，但它可以快速实现局部最优解，而无需对基函数进行预处理。我们的方法的有效性在解决两类问题中得到了证明：1）我们在执行不同的上身动作期间显示了对末端效应器的精确控制，2）我们还解决了合成具有精确脚放置的行走动画的问题，展示了同时满足多个约束和不同帧的能力。我们的几个实验结果表明，所提出的优化方法是简单的实现，并有效地实现精确的运动控制与现实的结果。
Motion blending is a popular motion synthesis technique which interpolates similar motion examples according to blending weighs parameterizing high-level characteristics of interest. We present in this paper an optimization framework for determining blending weights able to produce motions precisely satisfying multiple given spatial constraints. Our proposed method is simpler than previous approaches, and yet it can quickly achieve locally optimal solutions without pre-processing of basis functions. The effectiveness of our method is demonstrated in solving two classes of problems: 1) we show the precise control of end-effectors during the execution of diverse upper-body actions, and 2) we also address the problem of synthesizing walking animations with precise feet placements, demonstrating the ability to simultaneously meet multiple constraints and at different frames. Our several experimental results demonstrate that the proposed optimization approach is simple to implement and effectively achieves realistic results with precise motion control.