基于运动随机性的群体运动合成

运动捕获技术是目前人体动画领域最有前途的技术之一。针对其重用性问题,多种运动编辑方法被提出。然而,这些编辑方法大都针对单个角色运动进行处理;现有的群体运动方法更多的考虑的是运动决策、运动协调。另外,现有的基于物理的动画方法仅仅考虑利用位置随机性来增加变动。通过对单角色捕获运动,施加位置和时间随机性,并结合反向动力学与多层次B样条拟合技术,来合成逼真的群体运动。

The Group Motion Synthesis Based on Motion Randomicity

Motion Capture has been one of the most promising technologies in character animation in recent years. Aiming at the reusability, many kinds of motion editing approaches have been presented. However, most of these approaches only deal with single character motion. The existing group approaches consider more about motion planning and motion collaboration. In addition, these approaches of physical simulation only make use of the position randomicity to increase variation. We synthesis realistic group motion by imposing position and time randomicity on the single character motion in combination with Inverse Kinematics and Multi-level B-Spline fitting technologies.