An Algorithm of Feature Extraction of Face Based on the Weighted Variation of 2DPCA: An Algorithm of Feature Extraction of Face Based on the Weighted Variation of 2DPCA
暂无分享,去创建一个
[1] Jian-Huang Lai,et al. Face representation using independent component analysis , 2002, Pattern Recognit..
[2] Zhizhong Wang,et al. A new framework to combine vertical and horizontal information for face recognition , 2009, Neurocomputing.
[3] Hamid Abrishami Moghaddam,et al. Block-wise 2D kernel PCA/LDA for face recognition , 2010, Inf. Process. Lett..
[4] Yulian Zhu,et al. Subpattern-based principle component analysis , 2004, Pattern Recognit..
[5] Guohong Huang,et al. Fusion (2D)2PCALDA: A new method for face recognition , 2010, Appl. Math. Comput..
[6] Lu Wang,et al. Multilinear principal component analysis for face recognition with fewer features , 2010, Neurocomputing.
[7] Vijayan K. Asari,et al. An improved face recognition technique based on modular PCA approach , 2004, Pattern Recognit. Lett..
[8] Kuanquan Wang,et al. Bidirectional PCA with assembled matrix distance metric for image recognition , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[9] Alejandro F. Frangi,et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004 .
[10] Yongfeng Qi,et al. (2D)2PCALDA: An efficient approach for face recognition , 2009, Appl. Math. Comput..
[11] Jian-Huang Lai,et al. 1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based? , 2008, Pattern Recognit..