多角色与虚拟场景的运动融合

在基于运动捕获的计算机动画中,已提出的各种运动编辑的方法大都针对单个角色运动进行处理,而且角色的运动多数是事先规划好的,缺乏对外界环境变化的响应能力.为了提高角色对环境的感知、响应能力以及角色间的自主协同能力,提出将多个结构化环境下捕获的单角色运动融合到同一个非结构化虚拟环境下的"运动融合"的新概念和方法,并根据运动决策、运动协调、运动求解和运动执行的体系结构对运动规划、多角色协同、离散运动模式决策和连续运动姿势生成等关键问题进行了深入研究.实验结果表明,提出的方法能够真正有效地实现同一场景下角色与场景协调的运动融合.动画角色的高自主性和运动捕获数据的高重用性使得提出的方法在计算机动画和游戏中具有普遍的应用价值.

Multiple Characters Motion Fusion with Virtual Scene

In the computer animation based on motion capture, most of the available approaches to edit motion only deal with single character motion, which are mostly planned beforehand. Thus, characters lack the capability of responding to the environments. To improve the characters?ability to sense and respond to the environment, collaborate with each other, a new concept of motion fusion, which fuses multiple single-character motions captured in the structured environment into one unstructured virtual one, is presented in this paper. Based on the architecture of multi-character motion fusion with virtual scene which covers motion decision, motion collaboration, motion solving and motion execution, the key issues such as motion capture, planning, collaboration and generation of continuous movement and discrete movement are discussed in detail in this paper. The experimental results demonstrate that the presented method can efficiently fuse the motion of characters with virtual scenes. The independent collaboration of animated characters and high reuse enable the application of the presented idea into computer animation and game.