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- W2365996846 abstract "In order to eliminate the effect of varying illumination on face recognition,a novel illumination invariant method based on nonsubsampled contourlet transform(NSCT) and self-quotient image(SQI) is proposed.The method first performs Gamma correction on image under various lighting conditions,which can decrease the effect of varying illumination to some extent.The NSCT is used for multiresolution analysis.NormalShrink filtering is applied to high frequency subbands and a smooth image can be obtained by inverse nonsubsampled contourlet transform.A self-quotient image is used for illumination invariant extraction.Experimental results from Yale B and CMU PIE databases show that the proposed method can effectively eliminate the effect of varying illumination on face recognition,and the recognition rate of the method here is higher than the multiscale Retinex,self-quotient image and logarithmic total variation methods." @default.
- W2365996846 created "2016-06-24" @default.
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- W2365996846 date "2010-01-01" @default.
- W2365996846 modified "2023-09-28" @default.
- W2365996846 title "Illumination Invariant and Face Recognition Based on NSCT and SQI" @default.
- W2365996846 hasPublicationYear "2010" @default.
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