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2008
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Recognition of blurred faces using Local Phase Quantization

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Recognition of blurred faces using Local Phase Quantization
In this paper, recognition of blurred faces using the recently introduced Local Phase Quantization (LPQ) operator is proposed. LPQ is based on quantizing the Fourier transform phase in local neighborhoods. The phase can be shown to be a blur invariant property under certain commonly fulfilled conditions. In face image analysis, histograms of LPQ labels computed within local regions are used as a face descriptor similarly to the widely used Local Binary Pattern (LBP) methodology for face image description. The experimental re
Timo Ahonen, Esa Rahtu, Ville Ojansivu, Janne Heik
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Timo Ahonen, Esa Rahtu, Ville Ojansivu, Janne Heikkilä
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