肤色特征与AdaBoost算法结合的人脸检测  

Face Detection Based on Combing Color Characteristic and AdaBoost Algorithm

作　　者：李岚[1] 朱林杰[2] 张云[1] 

机构地区：[1]甘肃联合大学电子信息工程学院,兰州730000 [2]河南理工大学后勤集团,焦作454000

出　　处：《计算机与数字工程》2012年第12期142-145,共4页Computer & Digital Engineering

摘　　要：文章提出了一种肤色模型与AdaBoost算法相结合的人脸检测方法。首先用YUV+YIQ肤色模型对输入的图像进行初步分割,剔除非肤色区域。再用Adaboost方法进一步检测,精确定位人脸位置。实验结果表明该方法简单、快速,能更好地提高检测的速度和精度。The face detection method based on skin color model and AdaBoost algorithm combined is Put forward.Firstly,the input image is preliminarily segmented using YUV ＋ YIQ color model,and non skin areas are eliminated.Secondly,face position is accurately located by AdaBoost method.The experimental results show that this method is simple,fast,and can improve the detection speed and accuracy better.

关 键 词：YUV+YIQ肤色模型 ADABOOST算法 肤色分割 人脸检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]