アフィン変換近似推定による一般背景下の複数人物の顔認識 Face Recognition for Image of People under General Background Using Approximate Parameter Estimation of Affine Transform

この論文にアクセスする

この論文をさがす

著者

抄録

A method for face recognition of acquaintance in a given people image with general background is proposed. We assume that the face pattern to be recognized in the input image is perturbed approximately by Affine transform (rotated, enlarged or reduced, and translated) from a registered original one and also by a lighting variation. In order to estimate the parameters of the Affine transform, the method uses a Karhunen-Loeve (KL) expansion, spatial correlation, and a correction equation based on Taylor's expansion of the transform. Moreover, in order to be insensitive to the lighting variations, we deal with a normalized gradient vector field (NGVF) pattern representation. The experimental result shows that the method using NGVF representation and approximate parameter estimation is considerably effective.

収録刊行物

  • 電気学会論文誌. C

    電気学会論文誌. C 127(4), 623-629, 2007

    一般社団法人 電気学会

各種コード

  • NII論文ID(NAID)
    130000090520
  • NII書誌ID(NCID)
    AN10065950
  • 本文言語コード
    JPN
  • 資料種別
    特集
  • ISSN
    0385-4221
  • NDL 記事登録ID
    8774808
  • NDL 雑誌分類
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL 請求記号
    Z16-795
  • データ提供元
    NDL  J-STAGE 
ページトップへ