CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images
We investigate the low-resolution face recognition problem in this paper. A coupled discriminant multi-manifold analysis is proposed to project the low- and high- resolution faces to the unified discriminative feature space. Experiments on standard face databases demonstrate the effectiveness of the proposed method.
multi-manifold low-resolution face recognition super-resolution discriminant analysis