Fig. 5From: Bayesian face recognition using 2D Gaussian-Hermite momentsVisual comparison of the reconstructed versions of the face image with the original version. The reconstructed images are obtained from the eigenvectors for the 2D PCA-, 2D LDA-, and 2D CCA-based methods, the 2D GHMs, and the proposed sparse features in terms of 2D DGHMsBack to article page