Facial Expression Recognition (FER) in the wild is extremely challenging due to occlusions,
variant head poses, face deformation and motion blur under unconstrained conditions …

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 …

Automated Facial Expression Recognition (FER) has remained a challenging and
interesting problem in computer vision. Despite efforts made in developing various methods …

Abstract Deep Neural Networks (DNNs) have shown to outperform traditional methods in
various visual recognition tasks including Facial Expression Recognition (FER). In spite of …

To avoid the complex process of explicit feature extraction in traditional facial expression
recognition, a face expression recognition method based on a convolutional neural network …

Facial expression recognition (FER) is increasingly gaining importance in various emerging
affective computing applications. In practice, achieving accurate FER is challenging due to …

Facial expression recognition (FER) has long been a challenging task in computer vision. In
this paper, we propose a novel method, named deep comprehensive multipatches …

Extensive possibilities of applications have made emotion recognition ineluctable and
challenging in the field of computer science. The use of non-verbal cues such as gestures …

This paper presents a new face descriptor, local directional ternary pattern (LDTP), for facial
expression recognition. LDTP efficiently encodes information of emotion-related features (ı …

Datasets play an important role in the progress of facial expression recognition algorithms,
but they may suffer from obvious biases caused by different cultures and collection …