学习人体姿势和运动模型的动画Learning Human Pose and Motion Models for Animation |
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课程网址: | http://videolectures.net/gpip06_hertzmann_lhpmm/ |
主讲教师: | Aaron Hertzmann |
开课单位: | 多伦多大学 |
开课时间: | 2007-02-25 |
课程语种: | 英语 |
中文简介: | 计算机动画是一个极其劳动密集的过程;获得高质量的运动模型可以使过程更快更容易。我将描述用于从运动捕捉数据学习人体姿势和运动的模型的方法。我将从基于高斯过程潜变量模型(GPLVM)的姿势模型开始,并将该模型应用于逆运动学构建。然后,我将描述用于建模运动动力学的高斯过程动态模型(GPDM)。我还可以提到GPLVM的一些其他扩展来建模运动数据。我将讨论这些模型的属性(好的和坏的)以及未来工作的潜在方向。 |
课程简介: | Computer animation is an extraordinarily labor-intensive process; obtaining high-quality motion models could make the process faster and easier. I will describe methods for learning models of human poses and motion from motion capture data. I will begin with a pose model based on the Gaussian Process Latent Variable Model (GPLVM), and the application of this model to Inverse Kinematics posing. I will then describe the Gaussian Process Dynamical Model (GPDM) for modeling motion dynamics. I may also mention a few other extensions to the GPLVM for modeling motion data. I will discuss the properties of these models (both good and bad) and potential directions for future work. |
关 键 词: | 计算机动画; 高斯过程潜变量模型; 动力学模型 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-27:yumf |
阅读次数: | 57 |