Quasi-invariant Illumination Recognition for Appearance-Based Models, Taking Advantage of Manifold Information and Non-uniform Sampling

Author:

González Diego,Altamirano Luis Carlos

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Nayar, S.K., Murase, H., Nene, S.A.: Parametric Appearance Representation. In: Nayar, S.K., Poggio, T. (eds.) Early Visual Learning, pp. 131–160. Oxford University Press, Oxford (1996)

2. Belhumeur, P.N., Kriegman, D.J.: What is the Set of Images of an Object under All Possible Illumination Conditions? International Journal of Computer Vision 28(3), 245–260 (1998)

3. Forsyth, D., Ponce, J.: Computer Vision: a Modern Approach. Prentice Hall, Englewood Cliffs (2003)

4. Georghiades, A., Kriegman, D.J., Belhumeur, P.N.: Illumination Cones for Recognition under Variable Illumination: Faces. In: CVPR 1998, pp. 52–58. IEEE Computer Society Press, Los Alamitos (1998)

5. Chin, T.J., Suter, D.: A Study of Illumination Cones Method for Face Recognition Under Variable Illumination. Technical Report. MECSE-7-2004. Department of Electrical and Comp. Systems Engineering, Monash University (2004)

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