摘要
AdaBoost方法是目前较流行的一种图像检测方法．它是基于统计模型的检测方法。针对目前一些人脸检测方法误检率高、检测速度慢的问题，详细介绍AdaBoost算法的基本原理，并应用OpenCV程序的开发．实现检测速度快、检测率和鲁棒性高的人脸检测。
AdaBoost is one of the most popular methods in image detection research,which is based on the statistical model.According to the high mistake-examining rate and the detection speed problem of the present face detection methods, introduces the basic principle of AdaBoost algorithm, and realizes the programming in OpenCV, realizes the face detection which is fast, accurate and robust.
出处
《现代计算机》
2011年第14期20-23,35,共5页
Modern Computer
