References

[TP91]M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71-86, 1991.
[ZKC+98]W. Zhao, A. Krishnaswamy, R. Chellappa, D. Swets and J. Weng. Discriminant analysis of principal components for face recognition, pages 73-85. Springer Verlag Berlin, 1998.
[MWP98]B. Moghaddam, W. Wahid and A. Pentland. Beyond eigenfaces: probabilistic matching for face recognition. IEEE International Conference on Automatic Face and Gesture Recognition, pages 30-35. 1998.
[PBD+11]P.J. Phillips, J.R. Beveridge, B.A. Draper, G. Givens, A.J. O’Toole, D.S. Bolme, J. Dunlop, Y.M. Lui, H. Sahibzada and S. Weimer. An introduction to the good, the bad, & the ugly face recognition challenge problem. Automatic face gesture recognition and workshops (FG 2011), pages 346-353. 2011.
[LBP+12]Y.M. Lui, D. Bolme, P.J. Phillips, J.R. Beveridge and B.A. Draper. Preliminary studies on the good, the bad, and the ugly face recognition challenge problem. Computer vision and pattern recognition workshops (CVPRW), pages 9-16. 2012.
[GHW12]M. Günther, D. Haufe and R.P. Würtz. Face recognition with disparity corrected Gabor phase differences. In Artificial neural networks and machine learning, volume 7552 of Lecture Notes in Computer Science, pages 411-418. 9/2012.
[ZSG+05]W. Zhang, S. Shan, W. Gao, X. Chen and H. Zhang. Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition. Computer Vision, IEEE International Conference on, 1:786-791, 2005.
[MM09]C. McCool, S. Marcel. Parts-based face verification using local frequency bands. In Advances in biometrics, volume 5558 of Lecture Notes in Computer Science. 2009.
[WMM+12]R. Wallace, M. McLaren, C. McCool and S. Marcel. Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models. IEEE Transactions on Information Forensics and Security, 2012.
[WMM+11]R. Wallace, M. McLaren, C. McCool and S. Marcel. Inter-session variability modelling and joint factor analysis for face authentication. International Joint Conference on Biometrics. 2011.
[Pri07]S. J. D. Prince. Probabilistic linear discriminant analysis for inferences about identity. Proceedings of the International Conference on Computer Vision. 2007.
[ESM+13]L. El Shafey, Chris McCool, Roy Wallace and Sébastien Marcel. A scalable formulation of probabilistic linear discriminant analysis: applied to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(7):1788-1794, 7/2013.
[WM12]R. Wallace and M. McLaren. Total variability modelling for face verification. IET Biometrics, vol.1, no.4, 188-199, 12/2012
[TT10]X. Tan and B. Triggs. Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Transactions on Image Processing, 19(6):1635-1650, 2010.
[WLW04]H. Wang, S.Z. Li and Y. Wang. Face recognition under varying lighting conditions using self quotient image. In IEEE International Conference on Automatic Face and Gesture Recognition (AFGR), pages 819-824. 2004.
[HRM06]G. Heusch, Y. Rodriguez, and S. Marcel. Local Binary Patterns as an Image Preprocessing for Face Authentication. In IEEE International Conference on Automatic Face and Gesture Recognition (AFGR), 2006.
[WFK97]L. Wiskott, J.-M. Fellous, N. Krüger and C.v.d. Malsburg. Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19:775-779, 1997.
[ZSQ+09]W. Zhang, S. Shan, L. Qing, X. Chen and W. Gao. Are Gabor phases really useless for face recognition? Pattern Analysis & Applications, 12:301-307, 2009.
[GW09]M. Günther and R.P. Würtz. Face detection and recognition using maximum likelihood classifiers on Gabor graphs. International Journal of Pattern Recognition and Artificial Intelligence, 23(3):433-461, 2009.
[GWM12]M. Günther, R. Wallace and S. Marcel. An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms. Computer Vision - ECCV 2012. Workshops and Demonstrations, LNCS, 7585, 547-556, 2012.