Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Face Recognition Using Evolutionary Pursuit
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Discriminant Analysis for Recognition of Human Face Images (Invited Paper)
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Handbook for Automatic Computation: Linear Algebra (Grundlehren Der Mathematischen Wissenschaften, Vol 186)
Face recognition using discriminant eigenvectors
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Journal of Cognitive Neuroscience
Decision making in the LDA space: generalised gradient direction metric
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Modeling phase spectra using gaussian mixture models for human face identification
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Fundamenta Informaticae
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The algorithmic techniques for the implementation of the Linear Discriminant Analysis (LDA) play an important role when the LDA is applied to the high dimensional pattern recognition problem such as face recognition or verification. The LDA implementation in the context of face recognition and verification is investigated in this paper. Three main algorithmic techniques: matrix transformation, the Cholesky factorisation and QR algorithm, the Kronecker canonical form and QZ algorithm are proposed and tested on four publicly available face databases(M2VTS, YALE, XM2FDB, HARVARD)1. Extensive experimental results support the conclusion that the implementation based on the Kronecker canonical form and the QZ algorithm accomplishes the best performance in all experiments.