Using eye reflections for face recognition under varying illumination
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[1] Amnon Shashua,et al. The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[2] T. Kanade,et al. Combining Models and Exemplars for Face Recognition: An Illuminating Example , 2001 .
[3] Pat Hanrahan,et al. A signal-processing framework for reflection , 2004, ACM Trans. Graph..
[4] David J. Kriegman,et al. Nine points of light: acquiring subspaces for face recognition under variable lighting , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[5] Shree K. Nayar,et al. Eyes for relighting , 2004, SIGGRAPH 2004.
[6] Terence Sim,et al. The CMU Pose, Illumination, and Expression Database , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[7] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[8] Shree K. Nayar,et al. The World in an Eye , 2004, CVPR.
[9] Ronen Basri,et al. Lambertian Reflectance and Linear Subspaces , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Lawrence K. Saul,et al. Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold , 2003, J. Mach. Learn. Res..
[11] Lei Zhang,et al. Face recognition under variable lighting using harmonic image exemplars , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[12] David W. Jacobs,et al. In search of illumination invariants , 2001, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[13] Terence Sim,et al. The CMU Pose, Illumination, and Expression (PIE) database , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[14] David J. Kriegman,et al. Acquiring linear subspaces for face recognition under variable lighting , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] L Sirovich,et al. Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[16] Andrea J. van Doorn,et al. The Generic Bilinear Calibration-Estimation Problem , 2004, International Journal of Computer Vision.
[17] Shree K. Nayar,et al. Lighting sensitive display , 2004, ACM Trans. Graph..
[18] Peter W. Hallinan. A low-dimensional representation of human faces for arbitrary lighting conditions , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[19] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[20] David J. Kriegman,et al. The Bas-Relief Ambiguity , 2004, International Journal of Computer Vision.
[21] David J. Kriegman,et al. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[22] Alex Pentland,et al. View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[23] Rama Chellappa,et al. Rank constrained recognition under unknown illuminations , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).
[24] P. Jonathon Phillips. Human identification technical challenges , 2002, Proceedings. International Conference on Image Processing.
[25] Ralph Gross,et al. An Image Preprocessing Algorithm for Illumination Invariant Face Recognition , 2003, AVBPA.
[26] Haitao Wang,et al. Generalized quotient image , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[27] Thomas Vetter,et al. Face Recognition Based on Fitting a 3D Morphable Model , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[28] Shimon Ullman,et al. Face Recognition: The Problem of Compensating for Changes in Illumination Direction , 1994, IEEE Trans. Pattern Anal. Mach. Intell..