Presentation 2008-01-17
Estimation of PSF for Image Deblurring for Face Recognition
Masashi Nishiyama, Hidenori Takeshima, Tatsuo Kozakaya, Osamu Yamaguchi,
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Abstract(in English) This paper proposes a novel method for deblurring facial images to recognize faces deteriorated by blur. The main problem of this task is how to estimate a Point Spread Function(PSF) representing the process of blur. It is difficult to estimate a PSF from a single facial image due to an ill-posed problem. Our method uses a statistical model learnt from blurred faces of various individuals. We assume that blurred faces deteriorated by the same PSF are similar to each other and form a cluster in a statistical feature space. The statistical model is computed in this space for each PSF separately during training. For PSF estimation we compare a given facial image with each statistical model and select the closest one. Using the PSF corresponding to the selected statistical model, the given facial image is deblurred. Experimental results using the public face database FRGC1.0 show that our method improves the verification rate by over 17% for identification.
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Paper # PRMU2007-167
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Conference Information
Committee PRMU
Conference Date 2008/1/10(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Estimation of PSF for Image Deblurring for Face Recognition
Sub Title (in English)
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1st Author's Name Masashi Nishiyama
1st Author's Affiliation Corporate Research & Development, Toshiba Corporation()
2nd Author's Name Hidenori Takeshima
2nd Author's Affiliation Corporate Research & Development, Toshiba Corporation
3rd Author's Name Tatsuo Kozakaya
3rd Author's Affiliation Corporate Research & Development, Toshiba Corporation
4th Author's Name Osamu Yamaguchi
4th Author's Affiliation Corporate Research & Development, Toshiba Corporation
Date 2008-01-17
Paper # PRMU2007-167
Volume (vol) vol.107
Number (no) 427
Page pp.pp.-
#Pages 8
Date of Issue