Research On Face Detection Based On Depth Learning

Face detection is a very important research direction in the field of computer vision.It uses modern advanced information technology to detect the human face intelligently,analyzes all the feature information contained in the face,and deals with the information that embody the features of the face.Face detection technology has been applied to various areas of people's lives,and has promoted the informatization and security of people's lives.The research of face detection has made significant progress in recent years.Early research can only detect the location of human faces without any background.Nowadays,with the application of deep learning and other new technologies in face detection,some face detection techniques have been able to detect face accurately in any scene,detect face in the images taken from multiple angles.They can also judge the similarity of face in the two images and analyze the person's age,sex,and expression according to the detected face information.Deep learning is a widely used technology in current face detection research.In order to realize the face detection algorithm based on deep learning and verify the effectiveness of the algorithm compared to the traditional face detection algorithm,the main work of this paper consists of two parts.First,we have analyzed the basic principles of the traditional face detection algorithm based on AdaBoost,and implemented the algorithm based on OpenCV,and verified its effectiveness based on the AFW data set.Second,we have analyzed the basic principle of deep learning based on convolution neural network,implemented the convolution neural network based face detection algorithm by using the Caffe framework,and finally verified its effectiveness based on the AFW dataset.we have also compared the performance between the AdaBoost based face detection algorithm and the deep learning based face detection algorithm.The results shows that the deep learning face detection algorithm can not only identify the positive face,but also recognize the traditional side face which can't be detected by the AdaBoost based algorithm.,The accuracy of the depth learning face detection algorithm is obviously higher than that of the traditional algorithm.