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» Illumination Modeling and Normalization for Face Recognition
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AMFG
2003
IEEE
203views Biometrics» more  AMFG 2003»
13 years 10 months ago
Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions
Evaluations of the state-of-the-art of both academic face recognition algorithms and commercial systems have shown that recognition performance of most current technologies degrad...
Shiguang Shan, Wen Gao, Bo Cao, Debin Zhao
FGR
2004
IEEE
323views Biometrics» more  FGR 2004»
13 years 9 months ago
Automatic 3D Reconstruction for Face Recognition
An analysis-by-synthesis framework for face recognition with variant pose, illumination and expression (PIE) is proposed in this paper. First, an efficient 2D-to-3D integrated fac...
Yuxiao Hu, Dalong Jiang, Shuicheng Yan, Lei Zhang,...
ACCV
2006
Springer
13 years 11 months ago
Face Recognition Under Varying Illumination Based on MAP Estimation Incorporating Correlation Between Surface Points
In this paper, we propose a new method for face recognition under varying illumination conditions using a single input image. Our method is based on a statistical shape-from-shadin...
Mihoko Shimano, Kenji Nagao, Takahiro Okabe, Imari...
COST
2009
Springer
179views Multimedia» more  COST 2009»
13 years 12 months ago
Illumination Invariant Face Recognition by Non-Local Smoothing
Abstract. Existing face recognition techniques struggle with their performance when identities have to be determined (recognized) based on image data captured under challenging ill...
Vitomir Struc, Nikola Pavesic
ICIP
2010
IEEE
13 years 3 months ago
Maximizing intra-individual correlations for illumination-insensitive face recognition
Illumination variation has been one of the most intractable problems in face recognition and many approaches have been proposed to handle illumination problem in the last decades ...
Hu Han, Shiguang Shan, Xilin Chen, Wen Gao