摘要
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.
出处
《电路与系统学报》
CSCD
北大核心
2006年第3期101-105,95,共6页
Journal of Circuits and Systems
基金
2005年度多媒体计算与通信教育部-微软重点实验室科研基金(05071811)
安徽省人才基金(2004Z026)
