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 …

With the continuous improvement of computer software and hardware performance, a large
amount of image and video data can be easily collected and quickly transmitted, and new …

This paper presents a face recognition system based on convolution neural network. The
system consists of four convolution layers, three pooling layers, one full-connected layer and …

For indoor security robots, face recognition is an important ability. However, face recognition
is suffered from the limitation by environment uncertainties, the factors including perceptual …

Most face recognition algorithms are easily affected by external factors, or require the
recognizer to stand in a fixed position, so the recognition is slow and the accuracy is not very …

With the rapid development of computer science and Internet technology, face recognition
technology is widely used in such as public security, judicial and criminal investigation …

This paper presents a FPGA implementation of face recognition system based on
convolution neural network. The hardware architectures for convolution layers, pooling …

The traditional face recognition technology requires a lot of computation time for human face
feature extraction, and the recognition accuracy is limited by the extracted face features …

Recently, the development and application of robots has become a famous topic and the
most important thing for robots is personification. This paper uses a webcam to capture the …

With the development of computer vision and artificial intelligence, face recognition is widely
used in daily life. As one of the most concerned methods of biometric recognition, face …