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» Sparse Image Reconstruction using Sparse Priors
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136
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CVPR
2007
IEEE
16 years 5 months ago
Resolving Objects at Higher Resolution from a Single Motion-blurred Image
Motion blur can degrade the quality of images and is considered a nuisance for computer vision problems. In this paper, we show that motion blur can in-fact be used for increasing...
Amit K. Agrawal, Ramesh Raskar
MICCAI
2004
Springer
16 years 4 months ago
Progressive Attenuation Fields: Fast 2D-3D Image Registration Without Precomputation
This paper introduces the progressive attenuation field (PAF), a method to speed up computation of digitally reconstructed radiograph (DRR) images during intensity-based 2D-3D regi...
Torsten Rohlfing, Daniel B. Russakoff, Joachim Den...
CVPR
2006
IEEE
15 years 9 months ago
Perceptually-Inspired and Edge-Directed Color Image Super-Resolution
Inspired by multi-scale tensor voting, a computational framework for perceptual grouping and segmentation, we propose an edge-directed technique for color image superresolution gi...
Yu-Wing Tai, Wai-Shun Tong, Chi-Keung Tang
161
Voted
ICCV
2003
IEEE
16 years 5 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
141
Voted
CVPR
2008
IEEE
16 years 5 months ago
Local deformation models for monocular 3D shape recovery
Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of th...
Mathieu Salzmann, Raquel Urtasun, Pascal Fua