Facial expression recognition based on ASM and Finite Automata Machine

DOI

10.2991/wartia-16.2016.273How to use a DOI?

Keywords

ASM, Finite Automata Machine, Adaboost

Abstract

According to the problem that the facial expression recognition algorithm is easy to be affected by the error of the feature detection, this paper proposes a new algorithm based on Finite Automata Machine and realize the complete facial expression recognition system. The implementation steps include image preprocessing, face detection based on Adaboost, facial features localization based on ASM, normalization and facial expression classification based on Finite Automata Machine. Then experimental results show that this new facial recognition system possesses high accuracy, high stability and fast running speed. This provides a new method for the improvement of facial expression recognition, which promotes the development of artificial intelligence and human-computer interaction as well.

Copyright

© 2016, 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  - Jiaxin Si
AU  - YanChen Wan
AU  - Teng Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Facial expression recognition based on ASM and Finite Automata Machine
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1306
EP  - 1310
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.273
DO  - 10.2991/wartia-16.2016.273
ID  - Si2016/05
ER  -