대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

평탄도 측정을 이용한 GMM 얼굴인식기 구현 및 성능향상

Implementation and Enhancement of GMM Face Recognition System using Flatness Measure

  • 천영하 (전남대학교 대학원 전자공학과) ;
  • 고대영 (전남대학교 대학원 전자공학과) ;
  • 김진영 (전남대학교 대학원 전자공학과) ;
  • 백성준 (전남대학교 대학원 전자공학과)
  • 발행 : 2003.07.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This paper describes a method of performance enhancement using Flatness Mesure(FM) for the Gaussian Mixture Model(GMM) face recognition systems. Using this measure we discard the frames having low information before training and test. As the result, the performance increases about 9％ in the lower mixtures and calculation burden is decreased. As well, the recognition error rate is decreased under the illumination change surroundings. We use the 2D DCT coefficients lot face feature vectors and experiments are carried out on the Olivetti Research Laboratory (ORL) face database.

키워드