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18th International Conference on Pattern Recognition (ICPR'06) Volume 3
A Low-dimensional Illumination Space Representation of Human Faces for Arbitrary Lighting Conditions
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
x 
 
Yuankui Hu, Zengfu Wang, "A Low-dimensional Illumination Space Representation of Human Faces for Arbitrary Lighting Conditions," Pattern Recognition, International Conference on, vol. 3, pp. 1147-1150, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2006.92,
author = {Yuankui Hu and Zengfu Wang},
title = {A Low-dimensional Illumination Space Representation of Human Faces for Arbitrary Lighting Conditions},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2006},
issn = {1051-4651},
pages = {1147-1150},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.92},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - A Low-dimensional Illumination Space Representation of Human Faces for Arbitrary Lighting Conditions
SN - 1051-4651
SP1147
EP1150
A1 - Yuankui Hu,
A1 - Zengfu Wang,
PY - 2006
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Yuankui Hu, University of Science and Technology of China, Hefei,Anhui,China
Zengfu Wang, University of Science and Technology of China, Hefei,Anhui,China
In this paper, a method for low-dimensional illumination space representation (LDISR) of human faces is proposed. The method can not only synthesize a virtual face image when given lighting condition but also estimate lighting conditions when given a face image. The LDISR is based on the observation that 9 basis point light resources can represent almost arbitrary lighting conditions for face recognition application and different human faces have the similar LDISR. The advantage of LDISR is that it can be trained on images of one human face and can be used for all human faces. The experiments on image reconstruction indicated the efficiency of LDISR.
Citation:
Yuankui Hu, Zengfu Wang, "A Low-dimensional Illumination Space Representation of Human Faces for Arbitrary Lighting Conditions," icpr, vol. 3, pp.1147-1150, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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