Appearance-based face recognition using aggregated 2D Gabor features

King Hong Cheung, Jia You, Qin Li, Prabir Bhattacharya

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Current holistic appearance based face recognition methods require a high dimensional feature space to attain fruitful performance. In this paper, we have proposed a relatively low feature dimensional, template-matching scheme to cope with the transformed appearance-based face recognition problem. We use aggregated Gabor filter responses to represent face images. We investigated the effect of "duplicate" images (images from different sessions) and the effect of facial expressions. Our results indicate that the proposed method is more robust in recognizing "duplicate" images with variations in facial expression than the Principal Component Analysis method.
Original languageEnglish
Title of host publicationProceedings of the 5th International Workshop on Pattern Recognition in Information Systems, PRIS 2005, in Conjunction with ICEIS 2005
Pages3-11
Number of pages9
Publication statusPublished - 1 Dec 2005
Event5th International Workshop on Pattern Recognition in Information Systems, PRIS 2005, in Conjunction with ICEIS 2005 - Miami, FL, United States
Duration: 24 May 200525 May 2005

Conference

Conference5th International Workshop on Pattern Recognition in Information Systems, PRIS 2005, in Conjunction with ICEIS 2005
CountryUnited States
CityMiami, FL
Period24/05/0525/05/05

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems

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