Face detection based on adaboost
Pu Han, Jianming Liao · 2009
This paper describes the basic principles that using adaboost arithmetic to achieve face detection, through OPENCV software, selects the expansion of the harr-like characteristics and achieves the training of face detection classifier. Finally, we analyze how the number of the classifiers affects the results of the experiments, and then we give a more appropriate general size for the samples after comparison.