Current artificial intelligence systems for determining a person's emotions rely heavily on lip
and mouth movement and other facial features such as eyebrows, eyes, and the forehead …

Owing to the availability of a wide range of emotion recognition applications in our lives,
such as for mental status calculation, the demand for high-performance emotion recognition …

Detecting human emotion based on facial expression is considered a hard task for the
computer vision community because of many challenges such as the difference of face …

Artificial intelligence has been successfully applied in various fields, one of which is
computer vision. In this study, a deep neural network (DNN) was adopted for Facial emotion …

Light field cameras are able to capture the intensity of light rays coming from multiple
directions, thus representing the visual scene from multiple viewpoints. This paper exploits …

Facial expression is an essential part of communication. For this reason, the issue of human
emotions evaluation using a computer is a very interesting topic, which has gained more …

Facial emotion recognition (FER) has been an active research topic in the past several
years. One of difficulties in FER is the effective capture of geometrical and temporary …

Facial emotion recognition is a crucial task for human-computer interaction, autonomous
vehicles, and a multitude of multimedia applications. In this paper, we propose a modular …

Face alignment can fail in real-world conditions, negatively impacting the performance of
automatic facial expression recognition (FER) systems. In this study, we assume a realistic …

Emotion recognition from facial images is considered as a challenging task due to the
varying nature of facial expressions. The prior studies on emotion classification from facial …