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学习人体姿势和运动模型的动画

Learning Human Pose and Motion Models for Animation
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