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» Image Reconstruction by Linear Programming
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139
Voted
ICIP
2006
IEEE
16 years 4 months ago
An Architecture for Compressive Imaging
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
118
Voted
ICIP
2009
IEEE
15 years 9 days ago
Lamp: Linear approach for matching points
The 3D object recognition from a single or multiple 2D images is a very important problem in the computer vision field with a wide range of real applications. Considering the affi...
Manuel Marques, João Costeira
110
Voted
ICIP
2003
IEEE
16 years 4 months ago
Quantization of adaptive 2D wavelet decompositions
Classical linear wavelet representations of images have the drawback that they are not well-suited to represent edge information. To overcome this problem, nonlinear multiresoluti...
Béatrice Pesquet-Popescu, Henk J. A. M. Hei...
VISUALIZATION
2005
IEEE
15 years 8 months ago
Rendering Tetrahedral Meshes with Higher-Order Attenuation Functions for Digital Radiograph Reconstruction
This paper presents a novel method for computing simulated x-ray images, or DRRs (digitally reconstructed radiographs), of tetrahedral meshes with higher-order attenuation functio...
Ofri Sadowsky, Jonathan D. Cohen, Russell H. Taylo...
123
Voted
CVPR
2010
IEEE
15 years 10 months ago
Specular Surface Reconstruction from Sparse Reflection Correspondences
We present a practical approach for surface reconstruction of smooth mirror-like objects using sparse reflection correspondences (RCs). Assuming finite object motion with a fix...
Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel...