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158
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CVPR
2009
IEEE
1724views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Optimal Single Image Capture for Motion Deblurring
Deblurring images of moving objects captured from a traditional camera is an ill-posed problem due to the loss of high spatial frequencies in the captured images. Recent techniques...
Amit K. Agrawal, Ramesh Raskar
150
Voted
PAMI
2012
13 years 6 months ago
A Blur-Robust Descriptor with Applications to Face Recognition
—Understanding the effect of blur is an important problem in unconstrained visual analysis. We address this problem in the context of image-based recognition, by a fusion of imag...
Raghuraman Gopalan, Sima Taheri, Pavan K. Turaga, ...
116
Voted
CVPR
2010
IEEE
15 years 11 months ago
Manifold Blurring Mean Shift Algorithms
We propose a new family of algorithms for denoising data assumed to lie on a low-dimensional manifold. The algorithms are based on the blurring mean-shift update, which moves each...
Weiran Wang, Miguel Carreira-perpinan
221
Voted
ICCV
2009
IEEE
16 years 8 months ago
Filter Flow
The filter flow problem is to compute a space-variant linear filter that transforms one image into another. This framework encompasses a broad range of transformations including...
Steven M. Seitz, Simon Baker
192
Voted
ICPR
2004
IEEE
16 years 4 months ago
Developing Assistant Tools for Geometric Camera Calibration: Assessing the Quality of Input Images
This paper proposes two indicators for predicting the quality of camera model parameters from a set of input images. The first indicator is based on the acutance. It can quickly i...
Jean-Nicolas Ouellet, Patrick Hébert