A study of aggregated 2D gabor features on appearance-based face recognition

King Hong Cheung, Jia You, Wai Kin Kong, Dapeng Zhang

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

3 Citations (Scopus)


Existing approaches to holistic appearance based face recognition require a high dimensional feature space to attain fruitful performance. We have proposed a relatively low feature dimensional scheme to deal with the face recognition problem. We use the aggregated responses of 2D Gabor filters to represent face images. We have investigated the effect of "duplicate" images and the effect of facial expressions. Our results show that the proposed method is more robust than the PCA-based method under varying facial expressions, especially in recognizing "duplicate" images.
Original languageEnglish
Title of host publicationProceedings - Third International Conference on Image and Graphics
Number of pages4
Publication statusPublished - 1 Dec 2004
EventProceedings - Third International Conference on Image and Graphics - Hong Kong, Hong Kong
Duration: 18 Dec 200420 Dec 2004


ConferenceProceedings - Third International Conference on Image and Graphics
Country/TerritoryHong Kong
CityHong Kong

ASJC Scopus subject areas

  • Engineering(all)

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