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» Satellite image reconstruction from an irregular sampling
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ICIP
2009
IEEE
13 years 5 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
SIGGRAPH
1998
ACM
13 years 12 months ago
Multiple-center-of-projection Images
In image-based rendering, images acquired from a scene are used to represent the scene itself. A number of reference images are required to fully represent even the simplest scene...
Paul Rademacher, Gary Bishop
SMA
2003
ACM
132views Solid Modeling» more  SMA 2003»
14 years 25 days ago
Tight cocone: a water-tight surface reconstructor
Surface reconstruction from unorganized sample points is an important problem in computer graphics, computer aided design, medical imaging and solid modeling. Recently a few algor...
Tamal K. Dey, Samrat Goswami
ISBI
2007
IEEE
14 years 1 months ago
Generalized K-T Blast and K-T Sense Using Focuss
According to the recent theory of compressed sensing, accurate reconstruction is possible even from data samples dramatically smaller than Nyquist sampling limit as long as the un...
Hong Jung, Jaeheung Yoo, Jong Chul Ye
CVPR
2011
IEEE
13 years 3 months ago
Structure from motion for scenes with large duplicate structures
Most existing structure from motion (SFM) approaches for unordered images cannot handle multiple instances of the same structure in the scene. When image pairs containing differen...
Richard Roberts, Sudipta Sinha, Richard Szeliski, ...