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 …

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 …

We present a fully automatic multimodal 2D+ 3D feature-based facial expression recognition
approach and demonstrate its performance on the BU–3DFE database. Our approach …

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 …

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 …

Abstract 3D face was recently investigated for various applications, including biometrics and
diagnosis. Describing facial surface, ie how it bends and which kinds of patches is …

Since human expressions have strong flexibility and personality, subject-independent facial
expression recognition is a typical data bias problem. To address this problem, we propose …

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

In this paper, we propose a fully automatic approach for person-independent 3D facial
expression recognition. In order to extract discriminative expression features, each aligned …

3D Facial Expression Recognition (FER) is an active research area in computer vision.
Although previous methods report promising results, two key issues still remain to be solved …