On aggregated 2D gabor features for appearance-based face recognition

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

Face recognition performed in a controlled environment can be reduced to classical image retrieval/pattern recognition of frontal 2D images of a person. Current holistic appearance based methods require a high dimension feature space to cope with the problem. We, therefore, proposed a relatively low feature dimension scheme for the reduced face recognition problem; aggregated Gabor filter responses is employed to represent face images. Experiments have been done on two testing sets of a face image database from which the preprocessing and size of image differ; each set contains over 3,000 images of the same 120 subjects.
Original languageEnglish
Title of host publicationProceedings of the 2005 International Conference on Imaging Science, Systems, and Technology
Subtitle of host publicationComputer Graphics, CISST'05
Pages33-39
Number of pages7
Publication statusPublished - 1 Dec 2005
Event2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST'05 - Las Vegas, NV, United States
Duration: 27 Jun 200530 Jun 2005

Conference

Conference2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST'05
CountryUnited States
CityLas Vegas, NV
Period27/06/0530/06/05

Keywords

  • Biometrics
  • Gabor features
  • Gabor filters
  • Holistic face recognition
  • Principal component analysis

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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