An efficient method for facial expression recognition

Xudong Xie, Kin Man Lam

Research output: Journal article publicationConference articleAcademic researchpeer-review

Abstract

In this paper, an efficient method for human facial expression recognition is presented. Our method includes two major techniques: spatially maximum occurrence model (SMOM), which is used to describe the different facial expressions; and elastic shape-texture matching (ESTM), which is used to compute the similarity between two images. The combination of these two techniques, namely the SMOM-ESTM method, is used to classify the facial expressions. With our approach, the recognition rate based on the AR database is 94.5%.
Original languageEnglish
Pages (from-to)786-793
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5960
Issue number2
DOIs
Publication statusPublished - 1 Dec 2005
EventVisual Communications and Image Processing 2005 - Beijing, China
Duration: 12 Jul 200515 Jul 2005

Keywords

  • Elastic shape-texture matching
  • Facial expression recognition
  • Spatially maximum occurrence model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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