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SIBGRAPI
2005
IEEE
14 years 1 months ago
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
Carlos E. Thomaz, Duncan Fyfe Gillies
AMFG
2003
IEEE
203views Biometrics» more  AMFG 2003»
14 years 1 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
CVPR
2009
IEEE
15 years 3 months ago
Joint and Implicit Registration for Face Recognition
Contemporary face recognition algorithms rely on precise localization of keypoints (corner of eye, nose etc.). Unfortunately, finding keypoints reliably and accurately remains a...
Peng Li, Simon J. D. Prince
ICB
2009
Springer
188views Biometrics» more  ICB 2009»
14 years 2 months ago
Pixelwise Local Binary Pattern Models of Faces Using Kernel Density Estimation
Local Binary Pattern (LBP) histograms have attained much attention in face image analysis. They have been successfully used in face detection, recognition, verification, facial ex...
Timo Ahonen, Matti Pietikäinen
ICB
2009
Springer
173views Biometrics» more  ICB 2009»
13 years 5 months ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel