如何得到满足用户指定约束的风格化运动是近年来计算机动画领域的研究难点,针对这个问题,提出一个基于独立特征子空间的低维运动模型,该模型可以较好地参数化运动风格,并在此基础上提出了一种合成满足约束的风格化人体运动的算法.该算法在低维空间中求解反向运动学问题,并在风格子空间中响应用户输入的风格参数,使用户可以在指定关键帧末端约束的同时对风格进行编辑.实验结果表明:文中算法效率高,具有良好的交互性,能够用于动画的交互式编辑和与合成.
How to obtain stylistic human motions meeting user-defined constraints is still a challenge in the field of computer animation.To solve this problem,a new low-dimensional motion model that can parameterize motion style precisely is presented in this paper.This model is learnt by analysis of independent feature subspaces analysis.Based on this model,an editing algorithm of stylistic human motion is proposed.This algorithm solves inverse kinematics in the low-dimensional space and responses style parameters in the style subspaces.Users can synthesize stylistic human motions with user-defined style parameters and geometric constrains on key-frames.The experimental results demonstrate the effectiveness of this approach which can be used for interactive motion editing and synthesing.