In this survey, a systematic literature review of the state-of-the-art on emotion expression
recognition from facial images is presented. The paper has as main objective arise the most …

Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

In this paper, we propose a novel Feature Decomposition and Reconstruction Learning
(FDRL) method for effective facial expression recognition. We view the expression …

Extraction of discriminative features from salient facial patches plays a vital role in effective
facial expression recognition. The accurate detection of facial landmarks improves the …

Facial Expression Recognition (FER) in the wild is an extremely challenging task in
computer vision due to variant backgrounds, low-quality facial images, and the …

Primarily motivated by some characteristics of the human visual cortex (HVC), we propose a
new facial expression recognition scheme, involving a statistical synthesis of hierarchical …

Humans may make thousands of facial expressions throughout a discussion, varying in
intricacy, passion, and significance. This paper discusses way of recognizing different …

Automated emotion recognition from facial images is an unsolved problem in computer
vision. Although recent methods achieve close to human accuracy in controlled scenarios …

In the past few years, facial features detection and landmarks analysis plays a vital role in
several practical application such as surveillance system, crime detector and age estimation …

The article describes a system for image recognition using deep convolutional neural
networks. Modified network architecture is proposed that focuses on improving convergence …