基于肤色分割和AdaBoost算法的彩色图像的人脸检测

文章提出了肤色分割和AdaBoost算法结合的人脸检测算法。首先，对彩色图像进行肤色分割，通过人脸肤色的统计特征得到候选人脸区域：然后，基于AdaBoost算法，使用由强分类器组成的级联分类器对候选人脸区域进行扫描，最终得到精确定位的人脸。实验证明，该方法具有肤色检测快速和AdaBoost算法误检率低的优点，可以有效的运用于多姿态、多人脸和复杂背景的情况。

Face Detection of Color Image Based on Skin Color and AdaBoost Algorithm

This paper proposes a novel face detection method combined skin color detection and AdaBoost algorithm. First, skin color segmentation is used to detect skin regions and candidate face regions are formed in terms of the statistical characteristics of human face. Then these candidate face regions are scanned by cascade classifier which is consisted of many strong classifiers based on AdaBoost algorithm for more accurate face detection. The experimental results show that the new approach can detect face with ...