Commenced in January 2007
Paper Count: 30121
Face Texture Reconstruction for Illumination Variant Face Recognition
Abstract:In illumination variant face recognition, existing methods extracting face albedo as light normalized image may lead to loss of extensive facial details, with light template discarded. To improve that, a novel approach for realistic facial texture reconstruction by combining original image and albedo image is proposed. First, light subspaces of different identities are established from the given reference face images; then by projecting the original and albedo image into each light subspace respectively, texture reference images with corresponding lighting are reconstructed and two texture subspaces are formed. According to the projections in texture subspaces, facial texture with normal light can be synthesized. Due to the combination of original image, facial details can be preserved with face albedo. In addition, image partition is applied to improve the synthesization performance. Experiments on Yale B and CMUPIE databases demonstrate that this algorithm outperforms the others both in image representation and in face recognition.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077849Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1107
 Y. Adini, Y. Moses, S. Ullman, "Face recognition: the problem of compensating for changes in illumination direction," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 721-732, Jul. 1997.
 H. Barrow and J. Tenenbaum, "Recovering intrinsic scene characteristics from images," Computer Vision System, pp. 3-26, 1978.
 T. Stockham, "Image processing in the context of a visual model," in Proceedings of the IEEE, vol. 60, pp. 828-842, Jul. 1972.
 W. Chen, M. Joo Er, S. Wu, "Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain," IEEE transactions on systems, man, and cybernetics, vol. 36, pp. 458-466, Apr. 2006.
 H. Wang, Li,S.Z., Y. Wang, "Face recognition under varying lighting conditions using self quotient image," In IEEE International Conference on Automatic Face and Gesture Recognition, 2004, pp. 819-824.
 E. Land, "An alternative technique for the computation of the designator in the retinex theory of color vision," In Proceedings of the National Academy of Sciences of the United States of America, vol. 83, pp. 3078-3080, May. 1986.
 T. Chen, W.Yin, X.Zhou, Comaniciu, Huang,T.S., "Total variation models for variable lighting face recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 1519-1524, Sept. 2006.
 R. Gross, V. Brajovie, "An image preprocessing algorithm for illumination invariant face recognitoin," In International Conference on Audio and Video Based Biometric Person Authentication, 2003, pp. 10-18.
 X. Xie, W. Zheng, J. Lai, Y. P.C., "Face illumination normalization on large and small scale features," In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2008, pp. 8-16.
 H. Han, S. Shan, X. Chen, W. Gao, "Illumination transfer using homomorphic wavelet filtering and its application to light-insensitive face recognition," In IEEE International Conference on Automatic Face and Gesture Recognition, 2008, pp. 17-19.
 Tenenbaum. J, Freeman,W.T., "Learning bilinear models for twofactor problems in vision," In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997, pp. 554-560.
 S. Lee, S. Moon, S. Lee, "Face recognition under arbitrary illumination using illuminated exemplars," Pattern Recognition, vol. 40, pp. 1605-1620, May. 2007.
 K. Nishino, P. N.Belhumeur, S. K.Nayar, "Using eye reflections for face recognition under varying illumination," In International Conference on Computer Vision, 2005, vol. 1, pp. 519-526.
 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, pp. 643-660, Jun. 2001.
 Y. Wang, L. Zhang, Z. Liu, G. Hua, Z. Wen, Z. Zhang, Samaras,D., "Face relighting from a single image under arbitrary unknown lighting conditions," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, pp. 1968-1984, Nov. 2009.
 P. S.Wold, Kim Esbensen, "Principal component analysis," Chemometrics and Intelligent aboratory Systems, vol. 2, pp. 37-52, 1987.
 Wright J, Yang A.Y., Ganesh A., Sastry S.S., Yi Ma, "Robust face recognition via sparse representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, pp. 210-227, Feb. 2009.
 X. Xie and K. M.Lam, "An efficient illumination normalization method for face recognition," Pattern Recognition Letters, vol. 27, pp. 609-617, Apr. 2006.
 E. J.Ferwerda, M. StarkP. ShirleyJ. Ferwerda, "Photographic tome reproduction for digital image," in Proceedings of SIGGRAPH, pp. 267-276, Jul. 2002.
 T. sim, S. Baker, M. Bsat, "The CMU pose, illumination, and experession database," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, pp. 1615-1618, Dec. 2003.