Facial Expressions recognition Based on Principal Component Analysis (PCA)
Abstract
The facial expression recognition is an ocular task that can be performed without human discomfort, is really a speedily growing on the computer research field. There are many applications and programs uses facial expression to evaluate human character, judgment, feelings, and viewpoint. The process of recognizing facial expression is a hard task due to the several circumstances such as facial occlusions, face shape, illumination, face colors, and etc. This paper present a PCA methodology to distinguish expressions of faces under different circumstances and identifying it. Relies on Eigen faces technique using standard Data base images. So as to overcome the problem of difficulty to computers to identify the features and expressions of persons.
Cite
@article{arxiv.1506.01939,
title = {Facial Expressions recognition Based on Principal Component Analysis (PCA)},
author = {Abdelmajid Hassan Mansour and Gafar Zen Alabdeen Salh and Ali Shaif Alhalemi},
journal= {arXiv preprint arXiv:1506.01939},
year = {2015}
}
Comments
6 pages, 13 figures, 9 tables, Volume 18 Number 5; Dec 2014; pp. 188-193