Research on face detection based on fast Haar feature
Shuang Wang, Guanyu Wen, Hua Cai · 2017
Face detection refers to any given image, using a certain strategy to search for it to determine whether it contains the face, if it is to return to a face position, size and attitude. At present, it is a hot research topic in the field of computer vision and pattern recognition. It has a wide range of applications in the field of image processing, intelligent monitoring, intelligent vehicle system. Face detection is a complex and challenging pattern detection problem. There are two main difficulties, on the one hand, due to the inherent changes in the face, on the other hand, due to changes in external conditions caused by. In this paper, AdaBoost face detection algorithm based on Haar feature is implemented in the face detection phase. In order to determine whether the detected face is a positive face, the human eye detection algorithm based on integral projection is proposed.