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Kernel Fusion of Multiple Histogram Descriptors for Robust Face Recognition

  • Chi-Ho Chan
  • Josef Kittler
  • Muhammad Atif Tahir
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6218)

Abstract

A multiple kernel fusion method combining two multiresolution histogram face descriptors is proposed to create a powerful representation method for face recognition. The multi resolution histogram descriptors are based on local binary patterns and local phase coding to achieve invariance to various types of image degradation. The multi-kernel fusion is based on the computationally efficient spectral regression KDA. The proposed face recognition method is evaluated on FRGC 2.0 database yielding very impressive results.

Keywords

Local Binary Pattern Local Phase Quantization Kernel Fusion Linear Discriminant Analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Chi-Ho Chan
    • 1
  • Josef Kittler
    • 1
  • Muhammad Atif Tahir
    • 1
  1. 1.Centre for Vision, Speech and Signal ProcessingUniversity of SurreyUnited Kingdom

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