Expression-invariant face recognition system using subspace model analysis

P. H. Tsai, T. Jan

Research output: Contribution to journalConference articlepeer-review

22 Citations (Scopus)

Abstract

Face recognition has been recognized as most simple and non-intrusive technology that can be applied in many places. However, there are still many unsolved face recognition problems such as facial deformations, pose or illumination variations. Nonetheless, little research has been done on facial deformation problems. The hypothesis of this research was to determine if a face recognition system could provide robustness to facial deformation problem and its potential applicability. We used the Japanese Female Facial Expression (JAFFE) database as it provides the deformed facial traits for data collection. We used subspace model analysis to analyze the data so as to support our hypothesis. The experimental results indicate that face recognition may be robust to facial changes and applicable.

Original languageEnglish
Pages (from-to)1712-1717
Number of pages6
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2
Publication statusPublished - 2005
Externally publishedYes
EventIEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics - Waikoloa, HI, United States
Duration: 10 Oct 200512 Oct 2005

Keywords

  • Biometrics
  • Face recognition
  • Facial deformations
  • Geometric feature
  • Subspace model analysis

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