模板化的人体运动合成

为解决现有运动合成方法中控制方式过于复杂的问题,提出一种模板化的运动合成模型,旨在降低运动合成技术的应用门槛。利用稀疏主成分分析（Sparse principal component analysis, SPCA）、Group lasso 和Exclusive group lasso 对人体运动进行建模,使其对应的每一个低维参数只依赖于少数几个人体关节,构成人体运动的一个内在自由度（Degree of freedom, DOF）,并具有直观语义；同时,每个关节被尽量少的低维参数所控制,以减少低维参数对彼此所控制的自由度的交叉影响。实验表明,通过直观地修改低维参数,就能够实时地控制每个参数对应的...

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Bibliographic Details
Published in自动化学报 Vol. 41; no. 4; pp. 758 - 771
Main Author 夏贵羽 孙怀江
Format Journal Article
LanguageChinese
Published 南京理工大学计算机科学与工程学院 南京 210094 2015
Subjects
模板化
语义特征
运动参数
运动合成
运动合成
template
模板化
Motion synthesis
运动参数
语义特征
motion parameter
semantic feature
Online AccessGet full text
ISSN0254-4156
1874-1029
DOI10.16383/j.aas.2015.c140457

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Summary:为解决现有运动合成方法中控制方式过于复杂的问题,提出一种模板化的运动合成模型,旨在降低运动合成技术的应用门槛。利用稀疏主成分分析（Sparse principal component analysis, SPCA）、Group lasso 和Exclusive group lasso 对人体运动进行建模,使其对应的每一个低维参数只依赖于少数几个人体关节,构成人体运动的一个内在自由度（Degree of freedom, DOF）,并具有直观语义；同时,每个关节被尽量少的低维参数所控制,以减少低维参数对彼此所控制的自由度的交叉影响。实验表明,通过直观地修改低维参数,就能够实时地控制每个参数对应的摆臂幅度、踢腿高度、跳跃距离等运动属性。这种“模板学习、模板定制”的两步方法,有效地降低了运动合成控制的复杂度,即便非专业人员也可以用其进行艺术创作。
Bibliography:Since the existing approaches to control human motion synthesis are too complicated, we propose a templated motion synthesis model to reduce the di-culty of using motion synthetic technology. We use sparse principal component analysis （SPCA）, group lasso and exclusive group lasso to model human motions so that each low-dimensional parameter depends on a few human joints which form an intrinsic degree of freedom （DOF） with intuitive meanings. Meanwhile, our approach makes each joint controlled by as few low-dimensional parameters as possible to reduce the interferences between different DOFs. Our experiments demonstrate that users can control the motion features like amplitude of swing arm, kick height and jump distance by modifying the low-dimensional parameters intuitively in real time. This two-step approach of “template learning and template customization” can effectively reduce the complexity of synthesis control, and allows inexperienced users to create a realistic human animation quickly and easily.
XIA
ISSN:0254-4156
1874-1029
DOI:10.16383/j.aas.2015.c140457