The recognition of facial expression in images is one of the motional states in the observing
forms and is one of the most frequent non-verbal routes in which a person transfers his inner …

Identifying a person through photography is difficult when dealing with different conditions
such as light, colour and image cleanliness. Old facial recognition methods are not …

Face recognition is a widely used computer vision, which plays an increasingly important
role in user authentication systems, security systems, and consumer electronics. The models …

The potential applications of emotion recognition from facial expressions have generated
considerable interest across multiple domains, encompassing areas such as human …

Residual network is a deep learning model widely used in various applications of computer
vision, such as image processing, semantic classification and video processing. The …

Deep learning is the most spelt word and habitually used technology of the researchers
around the globe of technical arena. With the tremendous growth of technologies like data …

Computer vision has one of its primary applications as facial detection and recognition
system, which can perform two essential functions of identifying and verifying an individual …

Facial expressions are crucial for conveying human emotional states and play a key role in
interpersonal communication and affective computing. With the rapid advancement of deep …