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» Rank Constrained Recognition under Unknown Illuminations
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ECCV
2004
Springer
14 years 7 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...
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
14 years 6 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
FGR
2000
IEEE
150views Biometrics» more  FGR 2000»
13 years 10 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...
ICCV
2003
IEEE
13 years 11 months ago
Gamut Constrained Illuminant Estimation
This paper presents a novel solution to the illuminant estimation problem: the problem of how, given an image of a scene taken under an unknown illuminant, we can recover an estim...
Graham D. Finlayson, Steven D. Hordley, Ingeborg T...
ICCV
2005
IEEE
14 years 7 months ago
Using Eye Reflections for Face Recognition Under Varying Illumination
Face recognition under varying illumination remains a challenging problem. Much progress has been made toward a solution through methods that require multiple gallery images of ea...
Ko Nishino, Peter N. Belhumeur, Shree K. Nayar