基于NURBS向量肌肉模型的人脸动画及实现

当前,动画及其实现技术受到业界广泛关注,而人脸动画如喜、怒、哀、乐的表达其真实感还不够好.以Waters肌肉模型为基础,提出NURBS弹性肌肉模型,该方法依据解剖学知识,用非均匀有理B样条曲线仿真肌肉.通过改变曲线控制点的权重,可以找到一个动作向量控制肌肉的运动,进而合成人脸的各种表情.控制点数量越多,肌肉就越好控制,那么就可以更加真实地仿真人脸表情.

NURBS-based vector muscle model for facial animation and implementation

At present, facial animation and its implementation attract widely attention. However, its expressions such as happy, anger are not good enough. This paper presents a novel method, in which the muscles are constructed by the non-uniform rational B-spline curves （NURBS）, which are based on Waters muscle model and anatomical knowledge. By changing the weights of NURBS curves, it can form a motion vector to control facial muscle movements. With different number of control points, muscles are more controllable so that more detailed facial expressions can be simulated.