Title :
Low-Resolution Face Recognition via Coupled Locality Preserving Mappings
Author :
Li, Bo ; Chang, Hong ; Shan, Shiguang ; Chen, Xilin
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
Abstract :
Practical face recognition systems are sometimes confronted with low-resolution face images. Traditional two-step methods solve this problem through employing super-resolution (SR). However, these methods usually have limited performance because the target of SR is not absolutely consistent with that of face recognition. Moreover, time-consuming sophisticated SR algorithms are not suitable for real-time applications. To avoid these limitations, we propose a novel approach for LR face recognition without any SR preprocessing. Our method based on coupled mappings (CMs), projects the face images with different resolutions into a unified feature space which favors the task of classification. These CMs are learned through optimizing the objective function to minimize the difference between the correspondences (i.e., low-resolution image and its high-resolution counterpart). Inspired by locality preserving methods for dimensionality reduction, we introduce a penalty weighting matrix into our objective function. Our method significantly improves the recognition performance. Finally, we conduct experiments on publicly available databases to verify the efficacy of our algorithm.
Keywords :
face recognition; image classification; image resolution; matrix algebra; minimisation; coupled locality preserving mapping; image classification; low-resolution face recognition; objective function minimization; penalty weighting matrix; super-resolution; Coupled locality preserving mappings; face recognition; low-resolution;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2031705