摘要
为提高人脸检测的精度,提出一种基于YC_bC_r肤色模型和Adaboost算法的人脸检测方法。利用YC_bC_r颜色空间的肤色阈值模型确定待检测区域。再利用Adaboost算法准确定位出人脸位置,并对Adaboost算法的训练过程提出一种新的权值更新方法,防止权值过分增大,避免了Adaboost算法训练过程中出现的"退化"现象。
This paper proposes a method based on YCbCr color model and Adaboost face detection to improve the accuracy of face detection. Firstly,the algorithm uses the YCbCr skin color threshold model to determine the area to be detected. Then Adaboost algorithm is applied to locate the position of face. To avoid the degradation during training in Adaboost,the paper proposes a new method about suppression of weights updating in training of Adaboost algorithm.
出处
《电子科技》
2015年第12期80-83,共4页
Electronic Science and Technology
