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2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06)
A Fast Facial Expression Recognition Method at Low-Resolution Images
Pasadena, California, USA
December 18-December 20
ISBN: 0-7695-2745-0
ASCII Text
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Cheng-Chang Lien, Yang-Kai Chang, Chih-Chiang Tien, "A Fast Facial Expression Recognition Method at Low-Resolution Images," Intelligent Information Hiding and Multimedia Signal Processing, International Conference on, pp. 419-422, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006.
 
 
BibTex
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@article{ 10.1109/IIH-MSP.2006.10,
author = {Cheng-Chang Lien and Yang-Kai Chang and Chih-Chiang Tien},
title = {A Fast Facial Expression Recognition Method at Low-Resolution Images},
journal ={Intelligent Information Hiding and Multimedia Signal Processing, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2745-0},
pages = {419-422},
doi = {http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2006.10},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
TI - A Fast Facial Expression Recognition Method at Low-Resolution Images
SN - 0-7695-2745-0
SP419
EP422
A1 - Cheng-Chang Lien,
A1 - Yang-Kai Chang,
A1 - Chih-Chiang Tien,
PY - 2006
KW - null
VL - 0
JA - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
ER -
 
Cheng-Chang Lien, Chung Hua University, Taiwan
Yang-Kai Chang, Chung Hua University, Taiwan
Chih-Chiang Tien, Chung Hua University, Taiwan
In this paper, we propose a novel image-based facial expression recognition method called "expression transition" to identify six kinds of facial expressions (anger, fear, happiness, neutral, sadness, and surprise) at low-resolution images. Two approaches: direct mapping and singular value decomposition (SVD) are applied to calculate the expression transition matrices. The transformed images with a set of expression transition matrices are compared to identify the facial expressions. The experimental results show that the proposed facial expression recognition system can recognize 120 test images in the Chon-Kanade facial expression database with high accuracy and efficiency.
Citation:
Cheng-Chang Lien, Yang-Kai Chang, Chih-Chiang Tien, "A Fast Facial Expression Recognition Method at Low-Resolution Images," iih-msp, pp.419-422, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006
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