A. Georghiades, P. Belhumeur and D. Kriegman, “From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 6, 2001, pp. 643-660. doi:10.1109/34.927464
 R. Basri and D. Jacobs, “Lambertian Reflectance and Linear Subspaces,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 2, 2003, pp. 218-233. doi:10.1109/TPAMI.2003.1177153
 R. Gross, I. Matthews and S. Baker, “Fisher Light-Fields for Face Recognition across Pose and Illumination,” Proceedings of the German Symposium on Pattern Recognition (DAGM), Vol. 2449, 2002, pp. 481-489.
 J.-M. Chang, J. Beveridge, B. Draper, M. Kirby, H. Kley and C. Peterson, “Illumination Face Spaces are Idiosyncratic,” Proceedings of the International Conference on Image Processing & Computer Vision, Vol. 2, 2006, pp. 390-396.
 O. Yamaguchi, K. Fukui and K. Maeda, “Face Recognition Using Temporal Image Sequence,” Proceedings of the International Conference on Automatic Face and Gesture Recognition, 1998, pp. 318-323. doi:10.1109/AFGR.1998.670968
 R. Wang, S. Shan, X. Chen and W. Gao, “Manifold- Manifold Distance with Application to Face Recognition Based on Image Sets,” Proceedings of the Computer Vision and Pattern Recognition Conference, 23-28 June 2008, pp. 1-8.
 A. Fitzgibbon and A. Zisserman, “Joint Manifold Distance: A New Approach to Appearance Based Clustering,” Proceedings of the Computer Vision and Pattern Recognition Conference, Vol. 1, 2003, pp. 26-36.
 X. Liu, A. Srivastava and K. Gallivan, “Optimal Linear Representations of Images for Object Recognition,” IEEE Transactions on Pattern Analysis and Machine Learning, Vol. 26, No. 5, 2004, pp. 662-666. doi:10.1109/TPAMI.2004.1273986
 L. Wiskott, J.-M. Fellous, N. Krüger and C. Malsburg, “Face Recognition by Elastic Bunch Graph Matching,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, 1997, pp. 775-779. doi:10.1109/34.598235
 R. Brunelli and T. Poggio, “Face Recognition: Feature Versus Templates,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, No. 10, 1993, pp. 1042-1052. doi:10.1109/34.254061
 A. Edelman, T. Arias and S. Smith, “The Geometry of Algorithms with Orthogonality Constraints,” SIAM Journal on Matrix Analysis and Applications, Vol. 20, No. 2, 1999, pp. 303-353. doi:10.1137/S0895479895290954
 A. Knyazev and M. Argentati, “Principal Angles between Subspaces in a Based Scalar Product: Algorithms and Perturbation Estimates,” SIAM Journal of Scientific Computing, Vol. 23, No. 6, 2002, pp. 2008-2040. doi:10.1137/S1064827500377332
 J. Beveridge, B. Draper, J.-M. Chang, M. Kirby, H. Kley and C. Peterson, “Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 2, 2009, pp. 351-356. doi:10.1109/TPAMI.2008.200
 M. Nishiyama, O. Yamaguchi and K. Fukui, “Face Recognition with the Multiple Constrained Mutual Subspace Method,” Proceedings of the International Conference on Audio- and Video-Based Biometric Person Authentication, 2005, pp. 71-80.
 M. Nishiyama, M. Yuasa, T. Shibata, T. Wakasugi, T. Kawahara and O. Yamaguchi, “Recognizing Faces of Moving People by Hierarchical Image-Set Matching,” Proceedings of the Computer Vision and Pattern Recognition Conference, 2007, pp. 1-8.
 Q.-S. Sun, Z.-D. Liu, P.-A. Heng and D.-S. Xia, “A Theorem on the Generalized Canonical Projective Vectors,” Pattern Recognition, Vol. 38, No. 3, 2005, pp. 449- 452. doi:10.1016/j.patcog.2004.08.009
 J.-M. Chang, M. Kirby and C. Peterson, “Set-to-Set Face Recognition under Variations in Pose and Illumination,” Proceedings of the Biometrics Symposium, Baltimore, 11-13 September 2007, pp. 1-6. doi:10.1016/j.patrec.2009.06.002
 T. Wang and P. Shi, “Kernal Grassmannian Distances and Discriminate Analysis for Face Recognition from Image Sets,” Pattern Recognition Letters, Vol. 30, 2009, pp. 1161-1165. doi:10.1016/j.patrec.2009.06.002
 J. Hamm and D. Lee, “Grassmann Discriminate Analysis: a Unifying View on Subspace-Based Learning,” Proceedings of the 25th International Conference on Machine Learning, Vol. 307, 2008, pp. 376-383.
 M. Harandi, C. Sanderson, S. Shirazi and B. Lovell, “Graph Embedding Discriminant Analysis on Grassmannian Manifolds for Improved Image Set Matching,” Proceedings of the Compute Vision and Pattern Recognition Conference, 20-25 June 2011, pp. 2705-2712.
 A. Mansfield and J. Wayman, “Best Practices in Testing and Reporting of Biometric Devices: Version 2.01,” Tech. Rep. NPL Report CMSC 14/02, Centre for Mathematics and Scientific Computing, National Physical Laboratory, UK, 2002.
 W. Kendall, “Probability, Convexity and Harmonic Maps with Small Image I: Uniqueness and Fine Existence,” Proceedings of the London Mathematical Society, Vol. 61, 1990, pp. 371-406. doi:10.1112/plms/s3-61.2.371
 J. Manton, “A Globally Convergent Numerical Algorithm for Computing the Center of Mass on Compact Lie groups,” Proceedings of the International Conference on Control, Automation, Robotics and Vision, Vol. 3, 2004, pp. 2211-2216.
 T. Sim, S. Baker and M. Bsat, “The CMU Pose, Illumination, and Expression Database,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 12, 2003, pp. 1615-1618. doi:10.1109/TPAMI.2003.1251154
 P. Belhumeur and D. Kriegman, “What Is the Set of Images of an Object under All Possible Lighting Conditions,” International Journal of Computer Vision, Vol. 28, No. 3, 1998, pp. 245-260. doi:10.1023/A:1008005721484