With the explosive growth of population and the development of technology, face recognition
has been widely applied to various fields. At the same time, there are problems of low …

Purpose In order to solve the problem that the performance of the existing local feature
descriptors in uncontrolled environment is greatly affected by illumination, background …

In this paper, we mainly refers to the network structure of Alexnet, the traditional convolution
layer is modified to Multi-layer Perceptron (MLP) convolution layer to enhance the face …

Aiming at the problem of face recognition under different illumination intensities combined
with deep learning algorithm, this research designs a new loss function, i-center loss …

In the process of building a smart city, face recognition can be applied to the transformation
of enterprises, communities, and parks. The combination of building security system and …

In face recognition systems, highly robust facial feature representation and good
classification algorithm performance can affect the effect of face recognition under …

In order to improve the recognition performance of existing face recognition algorithms, the
algorithm of face recognition based on ensemble learning was proposed. First of all, the face …

Low resolution is an important factor affecting the accuracy of face recognition. Existing face
image recognition methods can not overcome the limitation of low resolution face image …

This paper studies the edge-cloud collaborative face recognition technology. This project
intends to integrate cloud computing technology with boundary computing technology …

Face recognition technology is an important branch of object detection, it is actually a
general term which includes face detection, face recognition or face identification. In …