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Reconstruction of High-Resolution Facial Image Based on Recursive Error Back-Projection of Top-Down Machine Learning  

Park, Jeong-Seon (전남대학교 멀티미디어학과)
Lee, Seong-Whan (고려대학교 컴퓨터학과)
Publication Information
Journal of KIISE:Software and Applications / v.34, no.3, 2007 , pp. 266-274 More about this Journal
Abstract
This paper proposes a new reconstruction method of high-resolution facial image from a low-resolution facial image based on top-down machine learning and recursive error back-projection. A face is represented by a linear combination of prototypes of shape and that of texture. With the shape and texture information of each pixel in a given low-resolution facial image, we can estimate optimal coefficients for a linear combination of prototypes of shape and those that of texture by solving least square minimizations. Then high-resolution facial image can be obtained by using the optimal coefficients for linear combination of the high-resolution prototypes. In addition, a recursive error back-projection procedure is applied to improve the reconstruction accuracy of high-resolution facial image. The encouraging results of the proposed method show that our method can be used to improve the performance of the face recognition by applying our method to reconstruct high-resolution facial images from low-resolution images captured at a distance.
Keywords
Low-resolution facial image; top-down machine learning; image reconstruction; face recognition; error back-projection;
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