Abstract
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.
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References
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)
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)
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 Neuroscience 3, 72–86 (1991)
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© 2005 Springer-Verlag Berlin Heidelberg
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Lee, SW., Moon, SH., Lee, SW. (2005). Robust Face Recognition Across Lighting Variations Using Synthesized Exemplars. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_23
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DOI: https://doi.org/10.1007/11538059_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28226-6
Online ISBN: 978-3-540-31902-3
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