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FGR
2000
IEEE
150views Biometrics» more  FGR 2000»
15 years 4 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...
ICIP
2003
IEEE
16 years 1 months ago
Sirface vs. Fisherface: recognition using class specific linear projection
Using a novel data dimension reduction method proposed in statistics, we develop an appearance-based face recognition algorithm which is insensitive to large variation in lighting...
Yangrong Ling, Xiangrong Yin, Suchendra M. Bhandar...
CVPR
2005
IEEE
16 years 1 months ago
Creating Invariance to "Nuisance Parameters" in Face Recognition
A major goal for face recognition is to identify faces where the pose of the probe is different from the stored face. Typical feature vectors vary more with pose than with identit...
Simon J. D. Prince, James H. Elder
PRL
2008
101views more  PRL 2008»
14 years 10 months ago
Illumination-robust face recognition using ridge regressive bilinear models
The performance of face recognition is greatly affected by illumination changes because intra-person variation of the captured images under different lighting conditions can be mu...
Dongsoo Shin, Hyung-Soo Lee, Daijin Kim
ICIP
1999
IEEE
16 years 1 months ago
Face Recognition of Video Sequences in a Mpeg-7 Context Using a Global Eigen Approach
An integral scheme that provides a global eigen approach to the problem of face recognition of still images has been presented in [1]. The scheme is based on the representation of...
Luis Lorente, Luis Torres