Gabor features based method using HDR (G-HDR) for multiview face recognition

Authors:
Dan Yao;Xiangyang Xue;Yufei Guo
Affiliations:
Dept of Computer Science and Engineering, FuDan University, Shanghai, China;Dept of Computer Science and Engineering, FuDan University, Shanghai, China;Dept of Computer Science and Engineering, FuDan University, Shanghai, China
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

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Abstract

This paper introduces a novel algorithm named G-HDR, which is a Gabor features based method using Hierarchical Discriminant Regression (HDR) for multiview face recognition Gabor features help to eliminate the influences to faces such as changes in illumination directions and expressions; Modified HDR tree help to get a more precise classify tree to realize the coarse-to-fine retrieval process The most challenging things in face recognition are the illumination variation problem and the pose variation problem The goal of Our G-HDR is to overcome both difficulties We conducted experiments on the UMIST database and Volker Blanz's database and got good results.