RESEARCH for Face Detection on Improved Algorithm of AdaBoost

摘要

Face detection is basic research in computer visual field, it has important application value in the fields of cameras and surveillance and Automatic face recognition. Because traditional algorithm of AdaBoost has the problem that it needs more features and the detection speed is slow when it is used to detect face, so a improved algorithm of AdaBoost is presented. The experiment results shows that compared with traditional algorithm of AdaBoost, lower features are used in the improved algorithm and higher accuracy rate can be get and the speed of detection is improved Significantly.Key words: face detection / algorithm of AdaBoost / double threshold