3 papers
cs.CV2019
2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm
Xing Liu, Xiao-Jun Wu, Zi-Qi Li
In this paper, two novel methods: 2DR1-PCA and 2DL1-PCA are proposed for face recognition. Compared to the traditional 2DPCA algorithm, 2DR1-PCA and 2DL1-PCA are based on the R1 no…
cs.CV2019
A Compared Study Between Some Subspace Based Algorithms
Xing Liu, Xiao-Jun Wu, Zhen Liu +1
The technology of face recognition has made some progress in recent years. After studying the PCA, 2DPCA, R1-PCA, L1-PCA, KPCA and KECA algorithms, in this paper ECA (2DECA) is pro…
cs.CV2018
Component SPD Matrices: A lower-dimensional discriminative data descriptor for image set classification
Kai-Xuan Chen, Xiao-Jun Wu
In the domain of pattern recognition, using the SPD (Symmetric Positive Definite) matrices to represent data and taking the metrics of resulting Riemannian manifold into account ha…