基于动态模板匹配的人脸面部特征提取的研究

A Study on Facial Feature Extraction Based on Deformable Template

根据动态模板匹配理论，提出了提取人脸面部特征的系列算法，特征是精确的轮廓描述而非简单的数字表达。实验证明，该方法具有较强的鲁棒性和自适应性。

Facial featUres extraction algorithms presented are based on deformable template model. In this paper,facial features are described accurately about contour but not express simply with data. The experiment shows that using the algorithms for facial feature extraction can get good adaptability and robustness.