Adapting motion capture data using weighted real-time inverse kinematics
Adapting motion capture data using weighted real-time inverse kinematics
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DOI：
10.1145/1057270.1057281
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Michael Meredith;Steve C. Maddock
中科院分区：
文献类型：
--
作者：
Michael Meredith;Steve C. Maddock
在本文中，我们提出了一种增强逆运动学（IK）解算器的技术，这样当结果应用于计算机角色时，我们可以根据角色和环境生成个性化水平，例如，行走运动可以变得“僵硬”或可以变成跛行运动。由于该技术是基于IK求解器，我们也有解决重定位问题时，映射字符之间的运动数据的理想效果。由于该技术的个性化方面与逆运动学求解器紧密结合，可以实现人物的个性化和实时重定向。
In this article we present a technique that enhances an inverse kinematics (IK) solver such that when the results are applied to a computer character, we can generate a level of individualization tailored to both the character and the environment, e.g., a walking motion can become "stiffer" or can be turned into a limping motion. Since the technique is based on an IK solver, we also have the desirable effect of solving retargetting issues when mapping motion data between characters. As the individualization aspect of our technique is very tightly coupled with the inverse kinematics solver, we can achieve both the individualization and retargetting of characters in real time.