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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
A Half Face Recognition Scheme
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Shidu Dong, Bo He, Qun Jiang, Huaqiu Wang, Tongyuan Huang, "A Half Face Recognition Scheme," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 1, pp. 355-358, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.415,
author = {Shidu Dong and Bo He and Qun Jiang and Huaqiu Wang and Tongyuan Huang},
title = {A Half Face Recognition Scheme},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {1},
year = {2007},
isbn = {0-7695-2909-7},
pages = {355-358},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.415},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - A Half Face Recognition Scheme
SN - 0-7695-2909-7
SP355
EP358
A1 - Shidu Dong,
A1 - Bo He,
A1 - Qun Jiang,
A1 - Huaqiu Wang,
A1 - Tongyuan Huang,
PY - 2007
KW - null
VL - 1
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Shidu Dong, Chongqing Institute of Technology, China
Bo He, Chongqing Institute of Technology, China
Qun Jiang, Chongqing Institute of Technology, China
Huaqiu Wang, Chongqing Institute of Technology, China
Tongyuan Huang, Chongqing Institute of Technology, China
A half face recognition scheme is proposed to reduce effect of variable lighting on face recognition. The scheme includes 3 stages. 1) The face images in training set are divided into the left face images and the right half face images firstly, and then they train the left feature extractor and the right feature extractor after illumination compensation respectively. 2) One half of a probe face image is chosen by entropy and its features are extracted by the corresponding feature extractor after illumination compensation. 3) The face is classified by the features of the chosen half face image. Experiment results show that, under variable lighting, the scheme not only gains the higher recognition ratio than the whole face, but also gains the higher speed.
Citation:
Shidu Dong, Bo He, Qun Jiang, Huaqiu Wang, Tongyuan Huang, "A Half Face Recognition Scheme," snpd, vol. 1, pp.355-358, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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