Position-Based Keyframe Selection for Human Motion Animation
Position-Based Keyframe Selection for Human Motion Animation
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DOI：
10.1109/icpads.2005.239
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发表时间：
2005-07
期刊：
影响因子：
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通讯作者：
Hideyuki Togawa;M. Okuda
中科院分区：
文献类型：
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作者：
Hideyuki Togawa;M. Okuda
提出了一种运动数据关键帧的选择方法。运动捕捉系统在电影、游戏和人体运动分析中得到了广泛的应用。大多数先前的方法直接利用旋转角度并测量旋转曲线的成本以用于选择关键帧。这些方法的一个缺点是它们不直接控制关节在3D空间中的位置。我们的方法提出了一个基于位置的关键帧检测方案。在我们的框架中，通过测量所有关节的位置来逐个抽取帧。我们利用的成本是所有联合位置差异的总和。然后，在测量关于帧的那些成本之后，抽取具有最低成本的帧。在实验部分，我们通过几种典型的运动来演示它
This paper proposes a method for keyframe selection of captured motion data. Motion capture systems have been widely used in movies, games and human motion analysis. Most of the previous methods make use of the rotation angles directly and measure a cost of the rotation curves for selection of keyframes. One drawback of these methods is that they do not directly control the positions of the joints in the 3D space. Our method proposes a position-based keyframe detection scheme. In our framework, frames are decimated one by one with measuring the positions of all the joints. We make use of the cost that is the sum of all the joint position differences. Then, a frame with the lowest cost is decimated after measuring those costs about frames. We demonstrate it in experimental section by several typical motions