利用OpenCv开发的一个基于adaboost算法和haar小波变换的人脸算法,具体情况可参考Paul Viola ,Robust Real-Time Face Detection,2004-OPEN development of the use of an algorithm based on adaboost haar wavelet transform and the Face algorithm specific reference Paul Viola, Robust Real-Tim

Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the

Adaboost 人脸检测的程序，实现静态图片人脸检测，摄像头实时人脸跟踪功能。速度较快，正脸检测率较高。-Adaboost face detection process, to achieve a static image, face detection, camera, real-time face tracking. Speed, face detection rate is higher.