Face Detection Based on Adaboost Algorithm
Xin Yang · Jisuanji fangzhen · 2005
This paper presents a new algorithm based on improved Adaboost for face detection.Adaboost is a learning algorithm for constructing accurate classifiers.It can obtain a strong learning algorithm by combining a series of weak learning algorithms through some rules,but it tends to overfit in the presence of highly noise samples.In this paper,we improve the weigh-update rules,and use PCA and our improved Adaboost to detect face images.Experiment results show that this approach has good performance,and the modified weigh-update rules can effectively avoid overfitting.