本科毕业设计（论文）基于AdaBoost算法改进的人脸检测系统.docVIP

摘要：模式识别的一个应用是图像处理，图像处理中最为常规的是人脸检测，到90年代,人脸检测开始作为一个独立的课题受到研究者的重视。人脸系统主要目的是检测图像中是否有人脸，并且标注人脸在图像中出现的位置大小。随着生物技术的的快速发展,人脸检测技术在人脸识别、表情识别、视频会议、基于内容的索引、图像与视频检索、智能人机交互等方面获得了广泛的应用。通常基于AdaBoost算法的人脸检测方法,具有检测速度快,正确率高的优点,但是其误检率也比较高,所以需要在检测出人脸候选区域后进行验证,将非人脸迅速排除掉。由于这种算法没有考虑到肤色因素,因此本文提出在使用基于AdaBoost算法的人脸检测方法检测出人脸后,添加一个使用肤色检测进行验证的过程。即在检测出人脸候选区域后,通过在YCbCr色彩空间中建立的肤色模型对候选区域作进一步的肤色验证,排除掉候选区域中不是肤色的区域,即排除掉那些被误检为人脸的区域。 关键字：人脸检测,AdaBoost算法,肤色验证,色彩空间 Abstract:The definition of face detection is that determine whether or not there are any faces in the image and,if Present,return the image location and extent of each face.Face detection originated in face recognition on the subject,Since the 1990s,face detection began as an independent subject of attention by researchers.With the fast rapid development of biological technology,face detection technology in face recognition,expression recognition, video conferencing,eonient based indexing,image and video search,intelligent human computer interaction,obtain the widespread application.AdaBoost algorithm which has high detecting speed and hit rate,bu t it also has high miss rate,so it is necessary to verify the face region safer detecting the face and date regions and removes the none face regions quickly .Since the algorithm has not taken the skin color information into account,this paper proposes that it increases skin color detection to verify the Face and date regions which was detected by using the method of based on AdaBoost algorithm.Namely after detecting the face candidate regions,it uses the skin color model which established in the YCbCr colors pace to make the further skin color confirmation and removes in the candidate regions which has not the skin color information,namely rules out the none face region which has detected by mistake. Keywords: face detection, adaboost algorithm, skin color verification, color space 研究背景与目的 1.1背景介绍 长期以来,计算机就好像一个盲人,需要被动地接受由键盘、文件输入的信息,而不能主动从这个世界获取信息并自主处理。人们为了让计算机看到这个世界并主动从这个世界寻找信息,发展了一门新兴学科一一计算机视觉。为