The application of convolutional neural networks in face detection

Abstract

Face detection is a popular and challenging issue which is widely studied in the past few decades. Its application includes the identity authentication, human machine interaction, security surveillance and social network. To have a better insight of the application of one of the typical deep learning algorithms called Convolutional Neural Network (CNN) in this field, this paper aims to analyze the current literature and progress about the face detection of low image quality and face detection optimization. The literature of Convolutional Neural Network from 2015 was included in this paper. Past research topics of face detection includes the occlusion, scale, small face cluster, speed, precision and multi-task region proposal network. The comparison between various deep learning-based methods in terms of the performance indicated that there is still no high robustness solution to all problems. The future research agendas of face detection based on the Convolutional Neural Network was also summarized.