9th Joint International Conference on Information Sciences (JCIS-06)

A Novel Feature Extraction Method for Facial Expression Recognition

Authors
Xiaoyi Feng 0, Baohua Lv, Zhen Li, Jiling Zhang
Corresponding Author
Xiaoyi Feng
0Northwestern Polytechnic University
Available Online undefined NaN.
DOI
https://doi.org/10.2991/jcis.2006.259How to use a DOI?
Keywords
Feature extraction, AAM, texture information, shape information
Abstract
In this work, a novel facial feature extraction method is proposed for automatic facial expressions recognition, which detecting local texture information, global texture information and shape information of the face automatically to form the facial features. First, Active Appearance Model (AAM) is used to locate facial feature points automatically. Then, the local texture information in these feature points and the global texture feature information of the whole face area are extracted based on the Local Binary Pattern (LBP) techniques, and also the shape information of the face are detected. Finally, all the information are combined together to form the feature vector. The proposed feature extraction method is tested by the JAFFE database and experimental results show that it is promising.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
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ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.259How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaoyi Feng
AU  - Baohua Lv
AU  - Zhen Li
AU  - Jiling Zhang
PY  - NaN/NaN
DA  - NaN/NaN
TI  - A Novel Feature Extraction Method for Facial Expression Recognition
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.259
DO  - https://doi.org/10.2991/jcis.2006.259
ID  - FengNaN/NaN
ER  -