Automatic machine-based Facial Expression Analysis (FEA) has made substantial progress
in the past few decades driven by its importance for applications in psychology, security …

A facial expression is a combination of an expressive component and a neutral component
of a person. In this paper, we propose to recognize facial expressions by extracting …

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 …

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 …

This paper presents a novel and efficient deep fusion convolutional neural network (DF-
CNN) for multimodal 2D+ 3D facial expression recognition (FER). DF-CNN comprises a …

Over the last two decades, face alignment or localizing fiducial facial points on 2D images
has received increasing attention owing to its comprehensive applications in automatic face …

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 …

The three-dimensional representation of the human face has emerged as a viable and
effective way to characterize the facial surface for expression classification purposes. The …

This study proposes a novel automatic method for facial landmark localization relying on
geometrical properties of 3D facial surface working both on complete faces displaying …

Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to
transform various sectors. BC can offer decentralized and secure data storage, while CV …