基于时空约束的运动编辑和运动重定向

近年来兴起的运动捕获已成为人体动画中最有应用前景的技术之一，目前运动捕获手段很多，但是通常成本高，而且捕获到的运动类型比较单一，为了提高运动捕获数据的重用性，生成与复杂场景协调的多样的动画，必须对捕获的运动数据进行编辑和重定向处理，介绍了一种基于时空约束的运动编辑和运动重定向方法，通过规定一组时空约束条件，建立相应的目标函数，采用逆向运动学和数值优化方法求解出满足约束条件的运动姿势，实验结果表明，该方法可以生成多种满足不同场景婪泊逼真运动，提出了数据的重用性。

Space-Time Constraints Based Motion Editing and Motion Retargeting

Motion capture has been one of the most promising technologies in character animation in recent years. However, the available motion capture approaches usually suffer from expensive motion capture hardware and monotonous captured motion style. To enhance the reusability of the captured motion data and produce various character animations harmonious with complex scenes, motion edition and retarget are prerequisite. A space time constraints based motion editing and motion retargeting method is presented in this paper. After specifying the space time constraints and objective functions of intended motion, we get satisfactory motion gesticulation by approaches of inverse kinematics and numerical optimization. Experimental results demonstrate that by our method, it is convenient to produce realistic motions, which coordinate with different scenes and raise the reusability of existing captured motion data.