面部表情跟踪描绘中的边缘特征量

由于外界环境的不确定性和人脸的复杂性，人脸表情的跟踪与计算机形象描绘是一个较难问题.基于此问题，提出了一种有别于模式识别、样本学习等传统手段的较为简单解决方法，在视频采集条件下，分析帧图像，通过对比多种边缘检测方法，采用一种基于边缘特征提取的人脸表情建模方法，来完成用于表情描绘的面部特征量提取与建模，并结合曲线拟合和模型控制等手段，进行人脸卡通造型生成和二维表情动画模拟.实现了从输入数据生成卡通造型画并真实地表现出表情变化情况.

Edge Feature Values in the Tracking Depiction of Facial Expression

Because of the uncertainty of outer circumstances and the complexity of human being′s face,how to track and depict the facial expression is a difficult problem.Based on it,the author puts forward a rather simple solution than such traditional methods as model recognition and sample learning.On the condition of the video capture,the author analyzes frame images,compares several edge detection methods,and uses a modeling method via Edge Feature Fetching for facial expression,in order to fetch face feature values and build a model to describe the facial expression.In addition,the author uses other methods,such as curve fit and model control,to describe the cartoon image of human being′s face and simulate the animation of 2D facial expression,and to complete developing the cartoon model drawing and describing realistically the change of facial expression.