人脸检测与特征定位是人脸分析技术的一个重要组成部分,其目标是在图像中搜索人脸特征(如眼、鼻、嘴、耳等)的位置。虽然人们可以毫不费力地完成这些工作,但对于机器来说,这依然是一件极其困难的任务。近几年来该项技术已有了长足的发展,已成功地应用于诸如人脸识别、姿态识别、表情识别、脸部动画等诸多领域。本文利用David Cristinace和Tim Cootes提出的一个多阶段人脸特征检测方法实现了一个实时人脸特征定位系统。同时也对原算法本身作了一些改进,在对精度影响极小的情况下,大大提高了原算法的速度。

Face detection and facial features localization are important parts of face analysis techniques.It's task is to search facial features in an image.Although human can finish this work without any effort,it's still a very difficult work for computer.In the past years,this technique has developed vastly and has been successfully applied in the fields of face recognition,pose recognition,expression recognition and face cartoon,etc.In this paper,we use a multi-stage facial features detection algorithm proposed by David Cristinacce and Tim Coote to implement a real-time facial features localization system.Meanwhile,we also improve the origin facial features localization algorithm to run much faster with only a little loss in accuracy.