基于PCA和肤色提取的人脸检测

Face detection using PCA and skin-tone extraction

人脸检测在安全、监视和人机界面应用中起到很重要的作用。在驾驶员疲劳检测系统中,提出了一种新的人脸检测方法。算法融合了肤色检测和改变主成分分析两种不同的检测理论。该算法和其他单一的理论比较而言,提高了效率和准确率,并且它能在不同的光线条件下表现得很好。

Face detection plays a huge role in many applications such as security, surveillance and human- computer interface.This paper presents a new face detection method for the drowsy driver assistant system. The algorithm is based on a combination of two different principles of detection, namely detection of skin color and modified PCA. The algorithm has shown improved performance compared to that using either of the principles alone and is performing well under different lighting conditions.