Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

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 …

With the development of intelligent automotive human-machine systems, driver emotion
detection and recognition has become an emerging research topic. Facial expression-based …

Facial expression recognition is crucial for various human-robot interaction applications,
which requires facial expression analysis having a broad generalization. However, existing …

Facial expression is an important channel for human nonverbal communication. This paper
presents a novel and effective approach to automatic 3D/4D facial expression recognition …

Multiview Facial Expression Recognition (MFER) is a well-known interdisciplinary problem
among computer science and related disciplines with promising and valuable applications …

Facial Expression Recognition (FER) is one of the most active topics in the domain of
computer vision and pattern recognition, and it has received increasing attention for its wide …

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 …