[1] A. Bas, W. A. Smith, T. Bolkart, and S. Wuhrer, “Fitting a 3-D morphable model to edges: A comparison between hard and soft correspondences,” arXiv preprint arXiv: 1602.01125, 2016.
[2] V. Blanz and T. Vetter, “A morphable model for the synthesis of 3-D faces,” in Proc. the 26th annual conference on Computer Graphics and Interactive Techniques, Los Angeles CA, USA, 1999.
[3] J. Kittler, P. Huber, Z. H. Feng, G. Hu, and W. Christmas, “3-D morphable face models and their applications,” in Proc. International Conference on Articulated Motion and Deformable Objects, Palma de Mallorca, Spain 2016.
[4] A. Patel and W. Smith. “3d morphable face models revisited. In in Proc. of IEEE Computer Vision and Pattern Recognition (CVPR), pp. 1327–1334, Florida, USA, 2009.
[5] X. Zhu and D. Ramanan. "Face detection, pose estimation, and landmark localization in the wild," in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Rhode Island, 2012.
[6] C. C. Chang, T. S. Chen, and K. F. Hwang, “Electronic image techniques,” Taipei: Unalis, 2000.
[7] N. F. Johnson and S. Jajodia, “Exploring steganography: Seeing the unseen,” IEEE Computer, vol. 31, no. 2, pp. 26-34, Feb. 1998.
[8] P. Paysan, R. Knothe, B. Amberg, S. Romdhani, and T. Vetter, “A 3-D face model for pose and illumination invariant face recognition,” in Proc. IEEE Intl. Conf. on Advanced Video and Signal based Surveillance, Genova, Italy, 2009.
[9] V. Blanz and T. Vetter, “Face recognition based on fitting a 3-D morphable model,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1063-1074, 2003.
[10] J. R. T. Rodríguez, “3D face modelling for 2D+3D face recognition,” Ph.D. dissertation, Dept. Electron. Eng., Univ. Surrey, Guildford, U.K., 2007.
[11] K. Pearson, “On lines and planes of closest fit to systems of points in space,” Philosophical Magazine, vol. 2, no. 11, pp. 559-572, 1901.
[12] W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B.P. Flanner, “Singular value decomposition,” Solution of Linear Algebraic Equation from Numerical Recipes in C, pp. 59-70, 1992.
[13] T. P. Minka, “Automatic choice of dimensionality for PCA,” M.I.T Media Laboratory Perceptual Computing Section Technical Report, Cambridge, 2000.
[14] H. A. Kiers, “Setting up alternating least squares and iterative majorization algorithms for solving various matrix optimization problems,” Computational Statistics and Data Analysis, vol. 41, no. 1, pp. 157-170, 2002.
[15] C. G. Rafael and E. W. Richard. Digital Image
Processing. Prentice-Hall, Upper Saddle River, NJ,
USA, 3rd edition, 2006.
[16] M. W. Chao, et al., “A high capacity 3D steganography algorithm,” IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 2, pp. 274-284, 2009.
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