Abstract
Face Recognition under uncontrolled illumination conditions is partly an unsolved problem. Several illumination correction methods have been proposed, but these are usually tested on illumination conditions created in a laboratory. Our focus is more on uncontrolled conditions. We use the Phong model which allows us to model ambient light in shadow areas. By estimating the face surface and illumination conditions, we are able to reconstruct a face image containing frontal illumination. The reconstructed face images give a large improvement in performance of face recognition in uncontrolled conditions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Shan, S., Gao, W., Cao, B., Zhao, D.: Illumination normalization for robust face recognition against varying lighting conditions. In: IEEE International Workshop on Analysis and Modeling of Faces and Gestures, AMFG 2003, October 17, pp. 157–164 (2003)
Heusch, G., Rodriguez, Y., Marcel, S.: Local binary patterns as an image preprocessing for face authentication. In: 7th International Conference on Automatic Face and Gesture Recognition, FGR 2006, April 10-12, pp. 6–14 (2006)
Tao, Q., Veldhuis, R.N.J.: Illumination normalization based on simplified local binary patterns for a face verification system. In: Biometrics Symposium 2007 at The Biometrics Consortium Conference, Baltimore, Maryland, USA, September 2007, pp. 1–6. IEEE Computational Intelligence Society, Los Alamitos (2007)
Shashua, A., Riklin-Raviv, T.: The quotient image: class-based re-rendering and recognition with varying illuminations. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(2), 129–139 (2001)
Sim, T., Kanade, T.: Combining models and exemplars for face recognition: An illuminating example. In: Proc. CVPR Workshop on Models versus Exemplars in Computer Vision (December 2001)
Basri, R., Jacobs, D.: Lambertian reflectance and linear subspaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(2), 218–233 (2003)
Blanz, V., Vetter, T.: A morphable model for the synthesis of 3d faces. In: IGGRAPH 1999: Proceedings of the 26th annual Conference on Computer Graphics and Interactive Techniques, pp. 187–194 (1999)
Al-Osaimi, F.R., Bennamoun, M., Mian, A.: Illumination normalization for color face images. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Remagnino, P., Nefian, A., Meenakshisundaram, G., Pascucci, V., Zara, J., Molineros, J., Theisel, H., Malzbender, T. (eds.) ISVC 2006. LNCS, vol. 4291, pp. 90–101. Springer, Heidelberg (2006)
Boom, B., Spreeuwers, L., Veldhuis, R.: Model-based reconstruction for illumination variation in face images. In: 8th International Conference on Automatic Face and Gesture Recognition, FGR 2008 (2008)
Nelder, J., Mead, R.: A simplex method for function minimization. The Computer Journal 7, 308–313 (1965)
Veldhuis, R., Bazen, A., Booij, W., Hendrikse, A.: Hand-geometry recognition based on contour parameters. In: Proceedings of SPIE Biometric Technology for Human Identification II, Orlando, FL, USA, March 2005, pp. 344–353 (2005)
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
Boom, B., Spreeuwers, L., Veldhuis, R. (2009). Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-03767-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03766-5
Online ISBN: 978-3-642-03767-2
eBook Packages: Computer ScienceComputer Science (R0)