Local Phase-context for Face Recognition under Varying Conditions

In this paper, we address the problem of face recognition of low-resolution images under varying light, illumination and blur using local texture based face representation. The main contribution is the texture representation using Phase-Context which is based on four-quadrant mask of the Fourier transform phase in local neighborhoods. The contextual phase generates a more discriminative code filtering responses, and a more effective feature set...