A review on state-of-the-art face recognition approaches
Automatic Face Recognition (FR) presents a challenging task in the field of pattern
recognition and despite the huge research in the past several decades; it still remains an …
recognition and despite the huge research in the past several decades; it still remains an …
Robust facial image super-resolution by kernel locality-constrained coupled-layer regression
Super-resolution methods for facial image via representation learning scheme have become
very effective methods due to their efficiency. The key problem for the super-resolution of …
very effective methods due to their efficiency. The key problem for the super-resolution of …
Patch‐based locality‐enhanced collaborative representation for face recognition
RX Ding, H Huang, J Shang - IET Image Processing, 2015 - Wiley Online Library
In the field of face recognition, the small sample size (SSS) problem and non‐ideal
situations of facial images are recognised as two of the most challenging issues. Recently …
situations of facial images are recognised as two of the most challenging issues. Recently …
Nuclear norm regularized coding with local position-patch and nonlocal similarity for face hallucination
Learning-based face hallucination methods have received much attention and progress in
past few decades. Specially, position-patch based approaches have been proposed to …
past few decades. Specially, position-patch based approaches have been proposed to …
Face Hallucination From New Perspective of Non-Linear Learning Compressed Sensing
The past decade has witnessed a prosperity of sparsity-inspired face hallucination methods
that use sparse prior and instances to generate High-Resolution (HR) faces. However, they …
that use sparse prior and instances to generate High-Resolution (HR) faces. However, they …