Bilateral Two-Dimensional Principal Component Analysis with its Application to Face Recognition
暂无分享,去创建一个
[1] Dewen Hu,et al. Comment on: "Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition" , 2008, Pattern Recognit..
[2] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[3] Alex Pentland,et al. Looking at People: Sensing for Ubiquitous and Wearable Computing , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Lei Wang,et al. Generalized 2 D Principal Component Analysis , 2005 .
[5] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[6] Alex Pentland,et al. View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[7] Zilan Hu,et al. Comment on: "Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition" , 2008, Pattern Recognit..
[8] Ming-Hsuan Yang,et al. Kernel Eigenfaces vs. Kernel Fisherfaces: Face recognition using kernel methods , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[9] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[10] Jian Yang,et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] E. K. Teoh,et al. Generalized 2D principal component analysis , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[12] M. A. Grudin,et al. On internal representations in face recognition systems , 2000, Pattern Recognit..