Face classification based on Shannon wavelet kernel and modified fisher criterion

Wen Sheng Chen*, Pong Chi YUEN, Jian Huang, Jianhuang Lai

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

15 Citations (Scopus)

Abstract

This paper addresses nonlinear feature extraction and Small Sample Size (S3) problems in face recognition. In sample feature space, the distribution of face images is nonlinear because of complex variations in pose, illumination and face expression. The performance of classical linear method, such as Fisher discriminant analysis (FDA), will degrade. To overcome pose and illumination problems, Shannon wavelet kernel is constructed and utilized for non-linear feature extraction. Based on a modified Fisher criterion, simultaneous diagonalization technique is exploited to deal with S3 problem, which often occurs in FDA based methods. Shannon wavelet kernel based subspace Fisher discriminant (SWK-SFD) method is then developed in this paper. The proposed approach not only overcomes some drawbacks of existing FDA based algorithms, but also has good computational complexity. Two databases, namely FERET and CMU PIE face databases, are selected for evaluation. Comparing with the existing FDA-based methods, the proposed method gives superior results.

Original languageEnglish
Title of host publicationFGR 2006
Subtitle of host publicationProceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Pages467-472
Number of pages6
DOIs
Publication statusPublished - 2006
EventFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton, United Kingdom
Duration: 10 Apr 200612 Apr 2006

Publication series

NameFGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Volume2006

Conference

ConferenceFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
Country/TerritoryUnited Kingdom
CitySouthampton
Period10/04/0612/04/06

Scopus Subject Areas

  • Engineering(all)

User-Defined Keywords

  • Face classification
  • Fisher discriminant analysis
  • Kernel method
  • Small sample size problem
  • Wavelet

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