Recognition and Analysis of Human Facial Expression: A PSO Optimization Method

DOI

10.2991/icmeis-15.2015.77How to use a DOI?

Keywords

Facial expression recognition; Face detection; Particle swarm optimization; Principal component analysis

Abstract

A method for precise face detection and segmentation combining with the particle swarm optimization is proposed. The method uses three key technologies: skin color segmentation, particle swarm search and curve approximation. The experimental results show that this method can eliminate the interference factor, and improve the accuracy of expression recognition, especially well for some single expression recognition.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhijie Li
AU  - Xiaodong Duan
AU  - Cunrui Wang
PY  - 2015/08
DA  - 2015/08
TI  - Recognition and Analysis of Human Facial Expression: A PSO Optimization Method
BT  - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
PB  - Atlantis Press
SP  - 419
EP  - 422
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeis-15.2015.77
DO  - 10.2991/icmeis-15.2015.77
ID  - Li2015/08
ER  -