Facial expression recognition is an active research area for which the research community
has presented a number of approaches due to its diverse applicability in different real-world …

Facial Expression Recognition (FER) has been an interesting area of research in places
where there is human-computer interaction. Human psychology, emotions and behaviors …

Optical flow techniques are becoming increasingly performant and robust when estimating
motion in a scene, but their performance has yet to be proven in the area of facial expression …

In this paper, we develop a new method that recognizes facial expressions, on the basis of
an innovative Local Motion Patterns (LMP) feature. The LMP feature analyzes locally the …

An essential aspect in the interaction between people and computers is the recognition of
facial expressions. A key issue in this process is to select relevant features to classify facial …

Facial recognition is in use for the past decade there are many applications that needs facial
expression to learn the human behaviour and emotions for certain activities. Facial …

Optical flow techniques are becoming increasingly performant and robust when estimating
motion in a scene, but their performance has yet to be proven in the area of facial expression …

Facial features play a vital role in the real-time cloud-based applications. Since, most of the
conventional models are difficult to detect heterogeneous facial features due to high …

Although facial landmark localization (FLL) approaches are becoming increasingly accurate
in identifying facial components, one question remains unanswered: what is the impact of …

Many existing facial expression recognition (FER) systems encounter substantial
performance degradation when faced with variations in head pose. Numerous frontalization …