Face Recognition for Image of People under General Background Using Approximate Parameter Estimation of Affine Transform

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  • 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
  • アフィン ヘンカン キンジ スイテイ ニ ヨル イッパン ハイケイカ ノ フクスウ ジンブツ ノ カオ ニンシキ

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Abstract

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.

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