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 …

Deriving an effective image representation is a critical step for a successful automatic image
recognition application. In this paper, we propose a new feature descriptor named Local …

To improve the human‐computer interaction (HCI) to be as good as human‐human
interaction, building an efficient approach for human emotion recognition is required. These …

Spatiotemporal image descriptors are gaining attention in the image research community for
better representation of dynamic textures. In this paper, we introduce a dynamic-micro …

Cognitive science and neuroscience use human facial expressions of emotion. Every single
facial expression can be seen at different passions in a face space. Nowadays, facial …

Currently available local feature descriptors used in facial expression recognition at times
suffer from unstable feature descriptions, especially in the presence of weak and distorted …

Facial expressions are an important demonstration of humanity's humors and emotions.
Algorithms capable of recognizing facial expressions and associating them with emotions …

This paper presents two novel directional patterns, a Maximum Response-based Directional
Texture Pattern (MRDTP) and a Maximum Response-based Directional Number Pattern …

Emotion recognition based on facial expressions plays an important role in numerous
applications, such as affective computing, behavior prediction, human-computer …

Research by psychologists have shown that subjects had a preference for a side of a face
when it was expressing emotions. This paper seeks to find what accuracies can be attained …