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» Illumination Modeling and Normalization for Face Recognition
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ICIP
2002
IEEE
15 years 11 months ago
Likelihood normalization for face authentication in variable recording conditions
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
Kuldip K. Paliwal, Conrad Sanderson
CVPR
2005
IEEE
15 years 11 months ago
Face Recognition Based on Frontal Views Generated from Non-Frontal Images
This paper presents a method for face recognition across large changes in viewpoint. Our method is based on a Morphable Model of 3D faces that represents face-specific information...
Volker Blanz, Patrick Grother, P. Jonathon Phillip...
FGR
2000
IEEE
150views Biometrics» more  FGR 2000»
15 years 1 months ago
From Few to Many: Generative Models for Recognition Under Variable Pose and Illumination
Image variability due to changes in pose and illumination can seriously impair object recognition. This paper presents appearance-based methods which, unlike previous appearance-b...
Athinodoros S. Georghiades, Peter N. Belhumeur, Da...
CVPR
2005
IEEE
15 years 11 months ago
Face Recognition with Image Sets Using Manifold Density Divergence
In many automatic face recognition applications, a set of a person's face images is available rather than a single image. In this paper, we describe a novel method for face r...
Ognjen Arandjelovic, Gregory Shakhnarovich, John F...
PREMI
2005
Springer
15 years 3 months ago
Illumination Invariant Face Alignment Using Multi-band Active Appearance Model
Abstract. In this study, we present a new multi-band image representation for improving AAM segmentation accuracy for illumination invariant face alignment. AAM is known to be very...
Fatih Kahraman, Muhittin Gökmen