From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lambertian Reflectance and Linear Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fisher Light-Fields for Face Recognition across Pose and Illumination
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Pattern Recognition Letters
Illumination Modeling and Normalization for Face Recognition
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ICML '06 Proceedings of the 23rd international conference on Machine learning
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VIP '02 Selected papers from the 2002 Pan-Sydney workshop on Visualisation - Volume 22
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Pattern Recognition Letters
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Proceedings of the 24th international conference on Machine learning
Face recognition using elastic local reconstruction based on a single face image
Pattern Recognition
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
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Pattern Recognition
Morphological background detection and enhancement of images with poor lighting
IEEE Transactions on Image Processing
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PCI'01 Proceedings of the 8th Panhellenic conference on Informatics
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CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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IEEE Transactions on Information Forensics and Security
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International Journal of Computer Vision
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FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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Proposal of novel histogram features for face detection
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Combination of projectional and locational decompositions for robust face recognition
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
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ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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Pattern Recognition Letters
A fast method of lighting estimate using multi-linear algebra
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Mode seeking with an adaptive distance measure
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
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Image variability due to changes in pose and illumination can seriously impair object recognition. This paper presents appearance-based methods which, unlike previous appearance-based approaches, require only a small set of training images to generate a rich representation that models this variability. Specifically, from as few as three images of an object in fixed pose seen under slightly varying but unknown lighting, a surface and an albedo map are reconstructed. These are then used to generate synthetic images with large variations in pose and illumination and thus build a representation useful for object recognition. Our methods have been tested within the domain of face recognition on a subset of the Yale Face Database B containing 4050 images of 10 faces seen under variable pose and illumination. This database was specifically gathered for testing these generative methods. Their performance is shown to exceed that of popularexisting methods.