A Hierarchical Face Recognition Method Based on Local Binary Pattern

Authors:
Gang Bai;Yi Zhu;Zongyao Ding
Affiliations:
-;-;-
Venue:
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 2 - Volume 02
Year:
2008

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Kernel sparse representation with pixel-level and region-level local feature kernels for face recognition

Neurocomputing

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Abstract

This paper proposes a hierarchical method to deal with the multi-pose face recognition problem. The Local Binary Pattern (LBP) feature is used as the uniform feature throughout the two-hierarchy process. Also, a new method, named Multi-expert Intelligent Decision System, is proposed to improve the performance of the pose estimation process. According to the experiments, the method is proved to be efficient and robust.