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» On Modeling Variations for Face Authentication
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AVBPA
2003
Springer
147views Biometrics» more  AVBPA 2003»
15 years 4 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
83
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ICPR
2006
IEEE
16 years 22 days 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 1 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 22 days 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 1 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