Sparse multi-stage regularized feature learning for robust face recognition
A new feature-extraction approach for efficient FR based on directional features. An augmented multi-stage or multi-regularization convex optimization. Results on various face databases demonstrate the effectiveness of our approach. The approach presents a trade-off between recognition and computational complexity. Three protocol experimental are tested among them the SSPP.
face recognition neural networks shearlets sparsity shearlet networks wavelet networks