Convolution neural network based face detection method and apparatus

Abstract

The invention discloses a convolution neural network based face detection method and apparatus. The method comprises the steps of: zooming all pictures in a training set into grayscale images of a predetermined size, and assigning label information to each pixel point of each picture, wherein the label information is used to show whether the pixel point that corresponds to the information is a face; establishing a convolution neural network, wherein layers of the convolution neural network are sequentially an input layer, a plurality of convolution layers, a plurality of full connectivity layers and an output layer; training the convolution neural network by using a gradient descent method and a back propagation algorithm; inputting a photograph to be detected into the well trained convolution neural network, so as to obtain an output characteristic value of a final layer; comparing the output characteristic value of a final layer to a predetermined threshold, so as to determine whether each pixel point of the photograph is a face region; and using a method of minimum closure, and detecting a face position according to pixel points that are determined as the face region.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition and computer vision, in particular to a face detection method and device based on a convolutional neural network. Background technique [0002] Face detection is a very important problem in computer vision. With the growth of application requirements such as face recognition, age estimation, gender estimation and expression recognition, face detection, as the first step to complete these tasks, has gained more and more attention. The more people pay attention. Some traditional methods use sliding windows to detect faces, then judge each obtained window, and finally detect the position of the face. However, these methods use sliding window technology, which will take a lot of time in this link, and are not particularly suitable for some applications with high real-time requirements. Contents of the invention [0003] In order to solve the problems in the prior art, the object of th...

AI Technical Summary

Problems solved by technology

This method avoids the time consumption caused by the sliding window, and is conducive to solving many face application problems that require high real-time performance.

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