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» From Few to Many: Generative Models for Recognition Under Va...
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FGR
2000
IEEE
150views Biometrics» more  FGR 2000»
13 years 9 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...
ECCV
2004
Springer
13 years 10 months ago
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
Lei Zhang 0002, Dimitris Samaras
AVBPA
2005
Springer
350views Biometrics» more  AVBPA 2005»
13 years 10 months ago
Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction
Pose and illumination changes from picture to picture are two main barriers toward full automatic face recognition. In this paper, a novel method to handle both pose and lighting c...
Xiujuan Chai, Laiyun Qing, Shiguang Shan, Xilin Ch...
ICANN
2009
Springer
13 years 9 months ago
Learning from Examples to Generalize over Pose and Illumination
We present a neural system that recognizes faces under strong variations in pose and illumination. The generalization is learnt completely on the basis of examples of a subset of p...
Marco K. Müller, Rolf P. Würtz
IJCV
1998
192views more  IJCV 1998»
13 years 4 months ago
What Is the Set of Images of an Object Under All Possible Illumination Conditions?
The appearance of an object depends on both the viewpoint from which it is observed and the light sources by which it is illuminated. If the appearance of two objects is never iden...
Peter N. Belhumeur, David J. Kriegman