Machine learning powerful deep learning model is difficult to apply on a low segment
embedded system or low segment mobile due to memory-constrained and battery …

Face recognition is an active research area with many successful traditional and deep
learning methods. In our research, we are introducing a Real Time Face Recognition based …

Face recognition that is technology used for recognizing human faces based on certain
patterns and re-detect faces in various conditions. Face recognition is currently becoming …

Based on neural network and local binary pattern algorithm, this paper builds a lightweight
artificial face recognition system on chip Firefly-RK3399, with high speed, strong robustness …

With the development of deep learning, the perception of facial image has wide prospects of
application. In a crowded environment, there is a problem that faces cannot be detected due …

With the development of social science and technology, people's awareness of the safety of
life gradually high, face recognition technology has entered people's lives. This paper …

In general, the field of face recognition has gain a lot of attention for researchers. As the
crime increases day by day, the forensic surveillance is required to construct a facial …

Technology of face recognition has developed rapidly in the past three decades. Various
face recognition methods have been proposed by a lot of research. The primary objective of …

In recent years, the application of visual processing algorithm based on deep network on
mobile terminal has become a popular research problem. In this paper, a new face loss …

In the training process of face images, the traditional convolutional neural network does not
fuse the information of high and low convolutional layers. In order to make full use of the …