Abstract
This paper presents a method for the normalization of human facial images in arbitrary illumination conditions. The enhanced image is suitable to be used as an input to a face recognition system.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Land, E.H., McCann, J.J.: Lightness and Retinex Theory. J. Opt. Soc. Am. 61(1) (1971)
Jobson, D.J., Rahman, Z., Woodell, G.A.: A Multiscale Retinex for Bridging the Gap Between Color Images and the Human Observation of Scenes. IEEE Transactions on Image Processing 6(3), 965–976 (1997)
Belhumeur, P.N., Kriegman, D.J.: What is the set of images of an object under all possible lighting conditions? IEEE International Conference on Computer Vision and Pattern Recognition (1996)
Bhattacharyya, J.: Detecting Removing Specularities and Shadows in Images. Masters Thesis, Department of Electrical and Computer Engineering, McGill University (June 2004)
Rammamorthi, R., Hanrahan, P.: A Signal-Processing Framework for Inverse Rendering. In: ACM SIGGRAPH (2001)
Chen, T., Yin, W., Zhou, X.S., Comaniciu, D., Huang, T.S.: Illumination normalization for face recognition and uneven background correction using total variation based image models. In: Proceedings of the IEEE Computer Society CVPR, pp. 532–539 (2005)
Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Physica D 60, 259–268 (1992)
Chambolle, A.: An algorithm for total variation minimization and applications. J. Math. Imaging Vis. 20, 89–97 (2004)
Lee, K.C., Ho, J., Kriegman, D.: Acquiring Linear Subspaces for Face Recognition under Variable Lighting. IEEE Trans. Pattern Anal. Mach. Intelligence 27(5), 684–698 (2005)
Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines(2001), http://www.csie.ntu.edu.tw/~cjlin/libsvm
Hayakawa, H.: Photometric stereo under light source with arbitrary motion. Journal of Optical Society of America A, 11 (1994)
Horn, B., Brooks, M. (eds.): Shape from Shading. MIT Press, Cambridge (1989)
Shashua, A.: On photometric issues in 3d visual recognition from a single 2D image. International Journal of Computer Vision 21, 99–122 (1997)
Yuille, A.L., Snow, D., Epstein, R., Belhumeur, P.N.: Determining generative models of objects under varying illumination: Shape and albedo from multiple images using svd and integrability. International Journal of Computer Vision 35, 203–222 (1999)
Wang, H., Li, S.Z., Wang, Y.: Generalized quotient image. IEEE International Conference on Computer Vision and Pattern Recognition (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cinque, L., Morrone, G. (2009). Retinex Combined with Total Variation for Image Illumination Normalization. In: Foggia, P., Sansone, C., Vento, M. (eds) Image Analysis and Processing – ICIAP 2009. ICIAP 2009. Lecture Notes in Computer Science, vol 5716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04146-4_102
Download citation
DOI: https://doi.org/10.1007/978-3-642-04146-4_102
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04145-7
Online ISBN: 978-3-642-04146-4
eBook Packages: Computer ScienceComputer Science (R0)