Face recognition with 3D real-time face imaging system based on LOGMAP
暂无分享,去创建一个
[1] Alejandro F. Frangi,et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004 .
[2] Carl-Fredrik Westin,et al. Fast Manifold Learning Based on Riemannian Normal Coordinates , 2005, SCIA.
[3] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[4] H. Zha,et al. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment , 2004, SIAM J. Sci. Comput..
[5] 张振跃,et al. Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment , 2004 .
[6] Zhan Shu,et al. Improved 3D AAMs for automatic location of facial feature based on CIS 3D facial imaging , 2009 .
[7] Shigeru Ando,et al. Surface orientation imager using three-phase amplitude-modulated illumination and correlation image sensor , 2003, IS&T/SPIE Electronic Imaging.
[8] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[9] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[10] Lin Yi-shen. Extended Manifold Learning Algorithm Based on Riemannian Normal Coordinates , 2008 .
[11] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[12] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.