Multiple-View
Face Hallucination by a Novel Regression Analysis in Tensor Space
ParinyaSanguansat
Faculty
of Engineering and Technology,Panyapiwat Institute of Management,Thailand
Abstract:In
this paper, the novel multiple-view face hallucination method was proposed.
This method is reconstructed the high-resolution face images in various poses
(normal, up, down, left, and right) from a single low-resolution face image
within these poses. There are two steps in our proposed method. In the first
step, a high-resolution face image in the same view of the observation is
reconstructed by the position-patch face hallucination framework with the
improved Locally Linear Embedding (LLE), which the number of neighbours is
adaptive. In the second step, the reconstructed image is used to generate the
high-resolution of the other views by the novel tensor regression technique.
The experimental results on the well-known dataset show that the proposed method
can achieve the better quality image than the baseline methods.
Keywords:Face
hallucination, tensor regression, multiple views, super-resolution
Received January 6, 2014; accepted December 16, 2014; Published online December 23, 2015