基于ASM的人脸特征点自动标定

An algorithm based on ASM to label the facial feature nodes automatically

针对经典弹性图匹配算法中人脸特征点的定位问题,本文提出了一种利用机器自标定来代替传统的手工标定的算法。本文算法首先利用可变形状模型拟合出人脸的轮廓,得到人脸关键特征点位置的初始估计,然后利用参考图像中对应特征点的Gabor系数调整初始位置,最终实现关键特征点的精确定位。实验结果表明,算法可以有效地定位出人脸特征点,定位结果稳定。

An algorithm is proposed in this paper to solve the facial feature points landmark by machine instead of by hand. It includes two steps. Firstly, it estimates the initial position of these feature points with the help of Active Shape Models. Secondly, it adjusts these initial points by calculating the similarity of the Gabor vector between the initial points and the referenced points. Finally, we can label the feature points accurately. Experiments show that our algorithm can locate facial feature points efficiently and robustly.