Face recognition is one of the well studied problems by researchers in computer visions. Among the challenges of this task are the occurrence of different facial expressions like happy or sad, and different views of the images such as front and side views. This paper experiments a publicly available dataset that consists of 200,000 images of celebrity faces. Deep Learning technique is gaining its popularity in computer vision and this paper applies this technique for face recognition problem. One of the techniques under deep learning is Convolutional Neural Network (CNN). There is also pre-trained CNN models that are AlexNet and GoogLeNet, which produce excellent accuracy results. The experimental results indicate that AlexNet is bette...
Face recognition is an important function of video surveillance systems, enabling verification and i...
In this article, the researcher presented the results of recognition of four emotional states (happy...
Face recognition system is generally divided into two stages, face detection system, which is a pre-...
Face recognition is one of the well studied problems by researchers in computer visions. Among the c...
Face recognition is increasingly being used for solving various social-problems such as personal pro...
Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in f...
Face recognition is one of the most important applications in video surveillance and computer vision...
In very recent years, several classification problems in computer vision, have boosted its performan...
Face recognition is a specific case of object recognition. It has received special attention in the ...
Biometric authentication plays a vital role nowadays compared to password or token-based authenticat...
In this article, the researcher presented the results of recognition of four emotional states (happy...
This paper reviews the development of face recognition based on deep learning in the field of biomet...
Face Recognition is a recently developing technology with numerous real life applications. The goal ...
In the recent past, convolutional neural networks (CNNs) have seen resurgence and have performed ext...
The Stockholm city museum contains a large collection of old photographs. Manually classifying and c...
Face recognition is an important function of video surveillance systems, enabling verification and i...
In this article, the researcher presented the results of recognition of four emotional states (happy...
Face recognition system is generally divided into two stages, face detection system, which is a pre-...
Face recognition is one of the well studied problems by researchers in computer visions. Among the c...
Face recognition is increasingly being used for solving various social-problems such as personal pro...
Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in f...
Face recognition is one of the most important applications in video surveillance and computer vision...
In very recent years, several classification problems in computer vision, have boosted its performan...
Face recognition is a specific case of object recognition. It has received special attention in the ...
Biometric authentication plays a vital role nowadays compared to password or token-based authenticat...
In this article, the researcher presented the results of recognition of four emotional states (happy...
This paper reviews the development of face recognition based on deep learning in the field of biomet...
Face Recognition is a recently developing technology with numerous real life applications. The goal ...
In the recent past, convolutional neural networks (CNNs) have seen resurgence and have performed ext...
The Stockholm city museum contains a large collection of old photographs. Manually classifying and c...
Face recognition is an important function of video surveillance systems, enabling verification and i...
In this article, the researcher presented the results of recognition of four emotional states (happy...
Face recognition system is generally divided into two stages, face detection system, which is a pre-...