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» Recognition of Images Degraded by Gaussian Blur
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ACML
2009
Springer
13 years 12 months ago
Coupled Metric Learning for Face Recognition with Degraded Images
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
PAMI
2011
13 years 6 days ago
Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces
— This paper proposes a novel method for recognizing faces degraded by blur using deblurring of facial images. The main issue is how to infer a Point Spread Function (PSF) repres...
Masashi Nishiyama, Abdenour Hadid, Hidenori Takesh...
ICDAR
1999
IEEE
13 years 9 months ago
A Two-state Markov Chain Model of Degraded Document Images
We propose a two-state Markov chain model of degraded document images. The model generates random and burst noise to simulate isolated pixel reversal as well as blurring of a larg...
Shamik Sural, P. K. Das
DSSCV
2005
Springer
13 years 10 months ago
Exploiting Deep Structure
Abstract. Blurring an image with a Gaussian of width σ and considering σ as an extra dimension, extends the image to an Gaussian scale space (GSS) image. In this GSS-image the is...
Arjan Kuijper
AVSS
2008
IEEE
13 years 11 months ago
Experimental Analysis of Face Recognition on Still and CCTV Images
Although automatic identity inference based on faces has shown success when using high quality images, for CCTV based images it is hard to attain similar levels of performance. Fu...
Shaokang Chen, Erik Berglund, Abbas Bigdeli, Conra...