Face Hallucination via Semi-Kernel Partial Least Squares
Qiang Zhang, Fei Zhou, Fan Yang, Qingmin Liao · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
In this paper, a patch-based super-resolution (SR) method is proposed to hallucinate facial images.Two steps are involved in this method.In the first step, semi-kernel partial least squares (semi-KPLS) algorithm is used to generate a nonlinear correlative space.In the second step, we use collaborative representation (CR) to infer a high-resolution (HR) face.The experiments conducted on FERET database demonstrate the proposed algorithm can generate better results, in comparison with some state-of-the-art approaches.