Facial expression recognition (FER) is a challenging task due to different expressions under
arbitrary poses. Most conventional approaches either perform face frontalization on a non …

In this paper, a novel deep neural network (DNN)-driven feature learning method is
proposed and applied to multi-view facial expression recognition (FER). In this method …

Driven by recent advances in human-centered computing, Facial Expression Recognition
(FER) has attracted significant attention in many applications. However, most conventional …

Research into facial expression recognition has predominantly been applied to face images
at frontal view only. Some attempts have been made to produce pose invariant facial …

In this paper, the problem of person-independent facial expression recognition is addressed
on 3D shapes. To this end, an original approach is proposed that computes SIFT descriptors …

We propose a method for head-pose invariant facial expression recognition that is based on
a set of characteristic facial points. To achieve head-pose invariance, we propose the …

In this paper, a novel multi-view facial expression recognition method is presented. Different
from most of the facial expression methods that use one view of facial feature vectors in the …

Methods to recognize humans' facial expressions have been proposed mainly focusing on
2D still images and videos. In this paper, the problem of person-independent facial …

Facial expression recognition (FER) has attracted much attention in recent years due to its
wide applications. While some progress has been achieved thanks to the emergence of …

Computer vision techniques capable of detecting human behavior are gaining interest.
Several researchers have provided their review on behavior detection, however most of the …