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» On Modeling Variations for Face Authentication
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AVBPA
2003
Springer
147views Biometrics» more  AVBPA 2003»
15 years 8 months ago
An Image Preprocessing Algorithm for Illumination Invariant Face Recognition
Face recognition algorithms have to deal with significant amounts of illumination variations between gallery and probe images. State-of-the-art commercial face recognition algori...
Ralph Gross, Vladimir Brajovic
ICPR
2006
IEEE
16 years 4 months ago
Pose Correction and Subject-Specific Features for Face Authentication
In this paper, we present a face authentication system that can be broken down in three stages. Prior to feature extraction, a pose correction step is applied, so that frontal fac...
Daniel González-Jiménez, José...
ECCV
2004
Springer
16 years 5 months ago
Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints
Photometric stereo algorithms use a Lambertian reflectance model with a varying albedo field and involve the appearances of only one object. This paper extends photometric stereo a...
Shaohua Kevin Zhou, Rama Chellappa, David W. Jacob...
ICPR
2004
IEEE
16 years 4 months ago
Bayesian Face Recognition Based on Gaussian Mixture Models
Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrap...
Xiaogang Wang, Xiaoou Tang
ICIP
2002
IEEE
16 years 4 months ago
Face recognition using mixtures of principal components
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
Deepak S. Turaga, Tsuhan Chen