Abstract
Facial appearance changes induced by lighting variation cause serious performance degradation in face recognition. Current face recognition systems encounter the difficulty to recognize faces under arbitrary illuminations. In this paper, we propose a new face recognition method under arbitrary lighting conditions, given only a single registered image and training data under unknown illuminations. Our proposed method is based on the exemplars which are synthesized from photometric stereo images of training data and the linear combination of those exemplars are used to represent the new face. We make experiments for verifying our approach and compare it with two traditional approaches. As a result, higher recognition rates are reported in these experiments using the illumination subset of Max-Planck Institute Face Database.
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
Basriand, R., Jacobs, D.: Photometric Stereo with General, Unknown Lighting. In: Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 374–381 (2001)
Freeman, W.T., Tenenbaum, J.B.: Learning bilinear models for two-factor problems in vision. In: Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 17, pp. 554–560 (1997)
Shashua, A., Raviv, T.R.: 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)
Adini, Y., Moses, Y., Ullman, S.: Face Recognition: the Problem of Compensating for Changes in Illumination Direction. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 721–732 (1997)
Blanz, V., Vetter, T.: Face recognition based on fitting a 3D morphable model. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(9), 1063–1074 (2003)
Blanz, V., Romdhani, S., Vetter, T.: Face Identification across Different Poses and Illuminations with a 3D Morphable Model. In: Proc. of the 5th International Conference on Automatic Face and Gesture Recognition, pp. 202–207 (2002)
Turk, M., Pentland, A.: Eigenfaces for recognition. Journal of Congnitive Neutoscience 3, 72–86 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Moon, SH., Lee, SW., Lee, SW. (2005). Illumination Invariant Face Recognition Using Linear Combination of Face Exemplars. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_12
Download citation
DOI: https://doi.org/10.1007/11527923_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27887-0
Online ISBN: 978-3-540-31638-1
eBook Packages: Computer ScienceComputer Science (R0)