Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition

Fusion of Bilateral 2DPCA Information for Image Reconstruction and Recognition

“…Li et al [27] and Wang et al [28] replaced 2 -norm with 1 -norm on the objective function of 2DPCA to improve its robustness, and proposed the greedy 2DPCA-L1 and the non-greedy 2DPCA-L1. Yang et al [29] further replaced 1 -norm with transformed 1 -norm, which is expected to be more robust, and proposed the 2DPCA-T 1 . Wang and Wang [30] imposed 1 -norm both on the objective function and the constraint of 2DPCA for simultaneously robust and sparse modeling, and proposed the 2DPCAL1-S.…”

“…Bilateral algorithms Zhang et al [21] (2D) 2 PCA Kong et al [22] Generalized 2DPCA Yang et al [23] RC2DPCA Subimages Titijaroonroj et al [24] RCM-2DPCA Sahoo et al [25] ESIMPCA, EFLPCA Sahoo et al [26] Bi-ESIMPCA, Bi-EFLPCA Robust and sparse modelling Li et al [27] 2DPCA-L1 Wang et al [28] non-greedy 2DPCA-L1 Yang et al [29] 2DPCA-T 1 Wang and Wang [30] 2DPCAL1-S Wang [31] G2DPCA Rotational invariance Gao et al [34] R 1 -2DPCA Li et al [35] F-2DPCA Gao et al [36] Angle-2DPCA Wang and Li [37] Area-2DPCA Wang et al [38] Cos-2DPCA Bi et al [39] ROMCA-2DPCA Razzak et al [40] ORPCA Mi et al [41] 2,p -2DPCA Zhou et al [42] GC-2DPCA Kuang et al [43] F p -2DPCA Zhou et al [44] BA2DPCA Bi et al [45] 2,p -SB-2DPCA Color image processing Xiang et al [46] C-2DPCA Jia et al [47] 2D-QPCA Xiao and Zhou [48] QRR-2D-QPCA Wang et al [49] F-2D-QPCA Jia et al [50] G-2D-QPCA Zhao et al [ 2DPCA-Net Li et al [57] L1-2DPCA-Net…”