Facial expression recognition combining different resolution images

Abstract

The key point of this thesis is to solve different resolution facial expression recognition. Previously, we used the Highresolution image generation module (HIG) and Coarse to fine the classification module to solve this problem. The effect of HIG is to convert low-resolution images to high-resolution images through superresolution. Coarse to fine classification module instead analyze the image step by step using a three-paragraph classification. Both methods can work well.