Gabor-based region covariance matrices for face recognition

Yanwei Pang, Yuan Yuan, Xuelong Li

Research output: Contribution to journalArticlepeer-review

264 Scopus citations

Abstract

This paper presents a new method for human face recognition by utilizing Gabor-based region covariance matrices as face descriptors. Both pixel locations and Gabor coefficients are employed to form the covariance matrices. Experimental results demonstrate the advantages of this proposed method.

Original languageEnglish
Article number4498432
Pages (from-to)989-993
Number of pages5
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume18
Issue number7
DOIs
StatePublished - Jul 2008
Externally publishedYes

Keywords

  • Biometrics
  • Face recognition
  • Gabor
  • Region covariance matrix (RCM)

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