With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …

The global population is aging due to many factors, including longer life expectancy through
better healthcare, changing diet, physical activity, etc. We are also witnessing various …

Face recognition is one of the most important abilities that we use in our daily lives. There
are several reasons for the growing interest in automated face recognition, including rising …

In recent years, the electronic devices and wireless network are seen everywhere,
generating a massive amount of online surveillance video data that can be applied to …

Multi-view facial expression recognition (FER) is a challenging computer vision task due to
the large intra-class difference caused by viewpoint variations. This paper presents a novel …

E-learning enables the dissemination of valuable academic information to all users
regardless of where they are situated. One of the challenges faced by e-learning systems is …

In recent years, facial expression analysis and recognition (FER) have emerged as an active
research topic with applications in several different areas, including the human-computer …

Facial expressions are generally recognized based on handcrafted and deep-learning-
based features extracted from RGB facial images. However, such recognition methods suffer …

Multi-culture facial expression recognition remains challenging due to cross cultural
variations in facial expressions representation, caused by facial structure variations and …

This paper proposes a novel approach to 3D Facial Expression Recognition (FER), and it is
based on a Fast and Light Manifold CNN model, namely FLM-CNN. Different from current …