Face recognition: the problem of compensating for changes in illumination direction
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
What Is the Set of Images of an Object Under All Possible Illumination Conditions?
International Journal of Computer Vision
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Orthogonal Tensor Decompositions
SIAM Journal on Matrix Analysis and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lambertian Reflectance and Linear Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multilinear Analysis of Image Ensembles: TensorFaces
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
From Few to Many: Generative Models for Recognition Under Variable Pose and Illumination
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face Recognition Using Optimal Non-Orthogonal Wavelet Basis Evaluated by Information Complexity
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Face Representation and Reconstruction under Different Illumination Conditions
IV '03 Proceedings of the Seventh International Conference on Information Visualization
Face recognition under variable lighting using harmonic image exemplars
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Face recognition using kernel direct discriminant analysis algorithms
IEEE Transactions on Neural Networks
Face recognition using LDA-based algorithms
IEEE Transactions on Neural Networks
Independent component analysis of Gabor features for face recognition
IEEE Transactions on Neural Networks
Technology evaluations on the TH-FACE recognition system
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
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Natural facial images are the composite consequence of multiple factors and illumination is an important one In many situations, we must normalize the facial image's illumination or simulate the similar lighting condition; therefore, accurate estimation of the facial image's lighting is necessary and can help get a good result Because of its richer representational power, multi-linear algebra offers a potent mathematical framework for analyzing the multifactor structure of image ensembles We apply multi-linear algebra to obtain a parsimonious representation of facial image ensembles which separates the illumination factor from facial images With the application of multi-linear algebra, we can avoid not only the use of 3D face model, but also that of the complicated iterative algorithm, thus we obtain a fast and simple method of lighting estimation.