참고문헌
- M.-Y. Cho, Y.-S. Jeong, and B.-T. Chun. "A study on face recognition performance comparison of real images with images from LED monitor," Journal of the Institute of Electronics and Information Engineers, Vol. 50, no. 5, pp. 144-149, 2013. https://doi.org/10.5573/ieek.2013.50.5.144
- W. Zhao, et al., "Face recognition: a literature survey." ACM computing surveys, Vol. 35, no. 4, pp. 399-458, 2003. https://doi.org/10.1145/954339.954342
- M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cognitive Neuroscience, Vol. 3, no. 1, pp. 71-86, 1991. https://doi.org/10.1162/jocn.1991.3.1.71
- P.N. Belhumeur, J.P. Hespanha, and D.J. Kriegman, "Eigenfaces vs. fisherfaces: recognition using class specific linear projection," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, no. 7, pp. 711-720, 1997. https://doi.org/10.1109/34.598228
- H. Cevikalp, M. Neamtu, M. Wilkes, et al., "Discriminative common vectors for face recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, no. 1, pp. 4-13, 2005. https://doi.org/10.1109/TPAMI.2005.9
- S.-I. Choi, C.-H. Choi, and N. Kwak. "Face recognition based on 2D images under illumination and pose variations," Pattern Recognition Letters, Vol. 32, no. 4, pp. 561-571, 2011. https://doi.org/10.1016/j.patrec.2010.11.021
- S.-I. Choi, C. Kim and C.-H. Choi, "Shadow compensation in 2D images for face recognition," Pattern Recognition, Vol. 40, no. 7, pp. 2118-2125, 2007. https://doi.org/10.1016/j.patcog.2006.11.020
- D. Kim, M. Sohn and S. Lee, "A study on face recognition method based on binary pattern image under varying lighting condition," Journal of the Institute of Electronics and Information Engineers, Vol. 49, no. 2, pp. 61-74, 2012.
- D.-J. Kim, M.-K. Sohn, and S.-H. Lee, "A study on face recognition method based on binary pattern image under varying lighting condition," Journal of The Institute of Electronics Engineers, Vol. 49, no. 2, pp. 61-74, 2012.
- S.-I. Choi, and G.-M. Jeong. "Shadow compensation using fourier analysis with application to face recognition," Signal Processing Letters, Vol. 18, no. 1, pp. 23-26, 2011. https://doi.org/10.1109/LSP.2010.2085434
- R. Ramamoorthi, "Analytic PCA construction for theoretical analysis of lighting variability in images of a Lambertian object," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, no. 10, pp. 1322-1333, 2002. https://doi.org/10.1109/TPAMI.2002.1039204
- A.S. Georghiades and P.N. Belhumeur, "From few to many: illumination cone models for face recognition under variable lighting and pose," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, no. 2, pp. 643-660, 2001. https://doi.org/10.1109/34.927464
- S.-I. Choi, and C.-H. Choi. "An effective face recognition under illumination and pose variations," in Proc, of International Joint Conference on Neural Networks, pp. 914-919, 2007.
- L.S. Shen, D.H. Liu, and K.M. Lam, "Illumination invariant face recognition," Pattern Recognition, Vol. 38, no. 10. pp. 1705-1716, 2005. https://doi.org/10.1016/j.patcog.2005.03.009
- X. Xie and K.-M. Lam, "An efficient illumination normalization method for face recognition," Pattern Recognition Letters, Vol. 27, no. 6. pp. 609-617, 2006. https://doi.org/10.1016/j.patrec.2005.09.026
- T. Ahonen, A. Hadid, and M. Pietikainen. "Face description with local binary patterns: application to face recognition," Pattern Analysis and Machine Intelligence, IEEE Transactions on., Vol. 28, no. 12, pp. 2037-2041, 2006. https://doi.org/10.1109/TPAMI.2006.244
- B. Froba, and A. Ernst. "Face detection with the modified census transform," Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings, pp. 91-96, 2004.
- R.C. Gonzalez, and R.E. Woods, Digital Image Processing, Prentice Hall, 2002, 2Ed.
- Y. Adini, Y. Moses, and S. Ullman. "Face recognition: The problem of compensating for changes in illumination direction," Pattern Analysis and Machine Intelligence, Vol. 19, no. 7, pp. 721-732, 1997. https://doi.org/10.1109/34.598229
- J. Liang, S. Yang, and A. Winstanley. "Invariant optimal feature selection: a distance discriminant and feature ranking based solution," Pattern Recognition, Vol. 41, no. 5, pp. 1429-1439, 2008. https://doi.org/10.1016/j.patcog.2007.10.018
- R. Gross, et al. "Multi-pie." Image and Vision Computing, Vol. 28, no. 5, pp. 807-813, 2010. https://doi.org/10.1016/j.imavis.2009.08.002
- A.M. Martinez and R. Benavente, The AR Face Database. CVC Technical Report #24, June 1998.
- Center for Computational Vision and Control, Yale University, The Yale Face Database, http://cvc.yale.edu/projects/yalefaces/yalefaces.html.
- T. Sim, S. Baker, M. Bsat. "The CMU pose illumination and expression (PIE) database," in: IEEE International Conference on Automatic Face and Gesture Recognition, May 2002.