As deep residual network has problems such as complex network structure and high time
cost in face recognition applications of small mobile devices, a lightweight model based on …

In order to avoid overfitting of face recognition results in complex Convolutional Neural
Network (CNN) on small and medium face situation, this paper provides a face recognition …

Facial recognition technology has received extensive attention and massively developed in
recent years. Facial recognizing with a traditional feature extractor, such as Local Binary …

In view of the bandwidth consumption caused by data stream transmission in video analysis
system and the demand for accurate online real-time analysis of massive data, this paper …

In view of the face recognition system implemented on the traditional computer, the face
recognition technology is combined with the embedded system, which is not easy to carry …

In recent years, with the continuous development of the Internet and artificial intelligence,
face recognition technology has also been widely used in many application scenarios …

Computer Vision has come a long way after the introduction of Convolutional Neural
Networks, that simulated the first perception layers in the human vision, specially in …

This paper designs a service robot-oriented face recognition system. For mobile robots, face
recognition is a very important function among them. The system includes three parts: face …