计算机应用与软件2017，Vol.34Issue(5)：135-140,6.DOI:10.3969/j.issn.1000-386x.2017.05.024
基于双肤色模型和改进的SNoW算法的人脸检测方法
A FACE DETECTION METHOD BASED ON DUAL SKIN MODEL AND IMPROVED SNoW ALGORITHM
摘要
Abstract
Aiming at the effect of environment and light on facial skin color extraction, a new face detection method based on double skin color model and improved SNoW algorithm is proposed.Firstly, the image is preprocessed by adaptive illumination compensation method to reduce the color deviation caused by illumination variation.Then, the face information of the preprocessed image is extracted by using the skin color model of YCbCr and HIS.Finally, the improved SNoW algorithm is used to detect the face position.Experimental results show that the proposed method can detect and locate human faces accurately, and improve the detection efficiency and the robustness of the algorithm to complex backgrounds, illumination and expression in complex background and illumination.关键词
人脸检测/双肤色模型/SNoW分类器/鲁棒性Key words
Face detection/Dual skin model/SNoW classifier/Robustness分类
信息技术与安全科学引用本文复制引用
丁勇,吴彦儒..基于双肤色模型和改进的SNoW算法的人脸检测方法[J].计算机应用与软件,2017,34(5):135-140,6.基金项目
国家自然科学基金重点项目(71331002) （71331002）
国家自然科学基金项目(71571059). （71571059）
