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18th International Conference on Pattern Recognition (ICPR'06) Volume 3
A Novel Eye Location Algorithm based on Radial Symmetry Transform
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Li Bai, Linlin Shen, Yan Wang, "A Novel Eye Location Algorithm based on Radial Symmetry Transform," Pattern Recognition, International Conference on, vol. 3, pp. 511-514, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.136,
author = {Li Bai and Linlin Shen and Yan Wang},
title = {A Novel Eye Location Algorithm based on Radial Symmetry Transform},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2006},
issn = {1051-4651},
pages = {511-514},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.136},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - A Novel Eye Location Algorithm based on Radial Symmetry Transform
SN - 1051-4651
SP511
EP514
A1 - Li Bai,
A1 - Linlin Shen,
A1 - Yan Wang,
PY - 2006
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Li Bai, University of Nottingham, Nottingham, UK
Linlin Shen, University of Nottingham, Nottingham, UK
Yan Wang, University of Nottingham, Nottingham, UK
A novel and robust eye location algorithm is proposed in this paper. The algorithm is based on a low level, context free generalized symmetry transform. Once the regions of interest are detected, characteristics of eyes can be used to improve detection results. The algorithm is tested using 1460 face images of the BioID database and 2730 images of the BANCA database. A fully automatic face verification system has also been developed using this eye location algorithm. The system was one of the top performers in the 2004 International Face Verification Competition.
Citation:
Li Bai, Linlin Shen, Yan Wang, "A Novel Eye Location Algorithm based on Radial Symmetry Transform," icpr, vol. 3, pp.511-514, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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