Abstract
This paper proposes a new method to solve the problem of face recognition under varying illumination conditions. We introduce an exemplar-based technique to decouple and subsequently recover the canonical face and the illumination functions from the intensity images. The canonical image is equivalent to the reflectance field of the face that is invariant to illumination. We subsequently use the canonical face to synthesize novel face appearances together with a set of lighting models. We then demonstrate the ability of the synthesis approach to improve the performance of the face recognition task.
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
Adini, Y., Ullman, S.: Face Recognition: the Problem of Compensating for Changes in Illumination Direction. Proc. of IEEE Trans. on PAMI 19(7), 721–732 (1997)
Riklin-Raviv, T., Shashua, A.: The Quotient Image: Class based Re-rendering and Recognition with Varying Illuminations. Proc. of IEEE Trans. on PAMI 23(2), 129–139 (2001)
Sim, T., Kanade, T.: Combining Models and Exemplars for Face Recognition: an Illumination Example. In: Proc. of Workshop on Models versus Exemplars in Computer Vision (December 2001)
Zhao, W., Chellappa, R.: Robust Face Recognition using Symmetric Shape-from-Shading, Technical Report CARTR-919, Centre for Automation Research, University of Maryland, College Park, MD (1999)
Sim, T., Baker, S., Bsat, M.: The CMU Pose, Illumination and Expression Database. Proc. of IEEE Trans. on PAMI 25(12), 1615–1618 (2003)
Debevec, P., Hawkins, T., Tchou, C., Sarokin, W., Sagar, M.: Acquiring the Reflectance Field of a Human Face. In: Proc. of SIGGRAPH 2000, pp. 145–156 (2000)
Yeredor, A.: The Extended Least Squares Criterion: Minimisation Algorithms and Applications. IEEE Trans. on Signal Processing 49(1), 74–86 (2000)
More, J.: The Levenberg-Marquardt Algorithm: Implementation and Theory. In: Watson, G. (ed.). Lecture Notes in Mathematics, pp. 105–116. Springer, Heidelberg (1978)
Manjunath, B., Chellappa, R., Malsburg, C.D.: A feature based approach to face recognition. In: Proc. of IEEE Computer Society. Confr. on Computer Vision and Pattern Recognition, pp. 373–378 (1992)
Yang, P., Shan, S., Gao, W., Li, S., Zhang, D.: Face recognition using Ada-boosted Gabor features. In: FG 2004, pp. 356–360 (2004)
Mariani, R.: A Face Location and Recognition System Based on Tangent Distance. In: Yuen, P.C., Tang, Y.Y., Wang, P.S.P. (eds.) Multimodal Interface for Human-Machine Communication, vol. 48, pp. 3–31. World Scientific, Singapore
Smith, W.A.P., Robles-Kelly, A., Hancock, E.R.: Skin Reflectance Modelling for Face Recognition. In: Proc. of the Int’l Confr. on Pattern Recognition, pp. 210–213 (2004)
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
Tan, T., Kühnapfel, T., Wongso, A., Lim, FL. (2005). An Illumination Invariant Face Recognition Approach Using Exemplar-Based Synthesis Technique. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_7
Download citation
DOI: https://doi.org/10.1007/11556121_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28969-2
Online ISBN: 978-3-540-32011-1
eBook Packages: Computer ScienceComputer Science (R0)