Aiming at the problem of low real-time performance of face recognition and low face
recognition rate on ARM platform, a real-time face recognition method based on deep …

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 …

Abstract The Convolutional Neural Network (CNN) based on deep learning is introduced to
propose two deep face detection algorithms and design an embedded face recognition …

To solve the problem that it is difficult to combine performance and speed of face recognition
in embedded environment, we design and implement a fast face recognition method based …

Face detection and recognition is one of the research hotspots in the field of computer
vision, which is widely used in video surveillance and identity matching. The traditional …

A practical deep learning face recognition system can be divided into several tasks. These
tasks can be time‐consuming if each task is executed with the original image as the input …

Although the face recognition method for in-depth learning has high accuracy, the model is
complex and the recognition speed is slow. In order to realize real-time face recognition of …

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

With the development of modern computer technology and artificial intelligence, face image
processing technology has been widely used in people's life and work. In order to realise …

Deep learning has become the main solution for face recognition applications due to its high
accuracy and robustness. In recent years, a batch of research on lightweight convolutional …