The Human Face Detection Algorithms Research and exploration Based on Adaboost
Yinyan Yinyan Li, Xueqin Lu · 2016
In this thesis, we implement a fast human face detection system based on the the latest real-time feature detection algorithms presented by Paul Viola [1].Based on the implementation of the algorithms developed by Paul, we developed a quick image scanning algorithm and an algorithm for simple classifier initialization and its optimization and a method for image data preprocess of the training system.Through the experiment, we try to get the optimal parameters to construct a human face detector with high detection speed and detection rate.Finally, we will have an analysis on our experiment results and on the issue of feature selection with different system parameters and the detection result of the whole system.