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SIBGRAPI
2005
IEEE
14 years 3 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
ICPR
2000
IEEE
14 years 11 months ago
Growing Gaussian Mixture Models for Pose Invariant Face Recognition
A major challenge for face recognition algorithms lies in the variance faces undergo while changing pose. This problem is typically addressed by building view dependent models bas...
Ralph Gross, Jie Yang, Alex Waibel
CVPR
2011
IEEE
13 years 6 months ago
Face Recognition in Unconstrained Videos with Matched Background Similarity
Recognizing faces in unconstrained videos is a task of mounting importance. While obviously related to face recognition in still images, it has its own unique characteristics and ...
Lior Wolf, Tal Hassner, Itay Maoz
CCECE
2006
IEEE
14 years 4 months ago
Human Vs. Automatic Measurement of Biometric Sample Quality
Biometric systems are designed to identify a person based on physiological or behavioral characteristics. In order to predict the utility of a particular image for identification,...
Andy Adler, Tatyana Dembinsky
ICB
2009
Springer
173views Biometrics» more  ICB 2009»
13 years 7 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