基于肤色信息与宽度优先搜索的AAM人脸特征定位算法

AAM Facial Feature Localization Algorithm Based on Skin Model and Breadth-First Search

提出了一种结合肤色信息与宽度优先搜索的AAM(Active Appearcance Models)人脸检测算法。该算法充分利用彩色人脸图像中的肤色信息,建立肤色模型,结合形态学运算和宽度优先搜索算法,定位人脸重心,有效地缩小了搜索窗口。实验表明,和AAM算法相比,该算法不仅检测率提高,而且速度提高60%以上。

This paper presented an advanced AAM face detection algorithm based on skin model and Breadth-First Search to accelerate the process of initialization,which takes full advantage of skin information.Based on skin model,combined with morphological operations and Breadth-First Search,it finds out the face area at first,then gives a rough location of the gravity of landmarks.It effectively narrows the search window,thereby reducing AAM search time.Experiments show that the improved algorithm can increase detection rate and reduce more than 60 percentage computing burden compared with AAM algorithm.