关键词: 卷积神经网络, 人脸检测, AlexNet, 多尺度变换

Abstract: In order to achieve fast and accurate face detection, a multi-scale face detection method based on full Convolutional Neural Network（CNN） is proposed. The full connectivity layer of the convolutional neural network model AlexNet is changed to full convolution layer, and divided the layer into two categories of face and non-face, the accuracy after training as high as 99.16%.When the trained classification model is used for face detection, the image to be detected is input to the full convolutional network through multi-scale transformation to obtain the probability characteristic figure, and the most accurate face frame is obtained by the inhibition of non-maximal value. The test results show that this method has the advantages of high accuracy, short detection time and good performance in face detection.

Key words: convolutional neural network, face detection, AlexNet, multi-scale transformation