This paper proposes a facial expression recognition system using evolutionary particle
swarm optimization (PSO)-based feature optimization. The system first employs modified …

In this research, we propose a facial expression recognition system with a variant of
evolutionary firefly algorithm for feature optimization. First of all, a modified Local Binary …

The concept of Image Phase Congruency (IPC) is deeply rooted in the way the human visual
system interprets and processes spatial frequency information. It plays an important role in …

To enhance the precision of edge localization and noise suppression in a color image, we
propose a conformal monogenic phase congruency model-based (CMPCM) edge detection …

This paper proposes hybrid approaches based on both feature level and score level fusion
strategies to provide a robust recognition system against the distortions of individual …

为了提高边缘检测精确度与抗噪性能, 该文提出一种基于保角相位的图像边缘检测新方法.
该方法首先利用保角单演信号能够表达不同本征维数的图像局部结构的特点 …

Most facial emotion recognition algorithms assume that the face is near frontal and the face
pose fixed during the recognition process. However, such constrain limits the adoption for …

Emotion recognition from facial expressions using videos is important in human computer
communication where the continuous changes in face movements need to be recognized …

To improve the image edge detection accuracy and anti-noise performance, a new
approach for image edge detection based on conformal phase is proposed. Firstly, the …

In human-human interactions, the majority of information is conveyed through body
language, specifically facial expressions. Consequently, researchers have been interested …