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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
ECCV
2006
Springer
14 years 9 months ago
Uncalibrated Factorization Using a Variable Symmetric Affine Camera
Abstract. In order to reconstruct 3-D Euclidean shape by the TomasiKanade factorization, one needs to specify an affine camera model such as orthographic, weak perspective, and par...
Ken-ichi Kanatani, Yasuyuki Sugaya, Hanno Ackerman...
ICCV
2007
IEEE
14 years 9 months ago
A Variational Method for Scene Flow Estimation from Stereo Sequences
This paper presents a method for scene flow estimation from a calibrated stereo image sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2-D...
Frederik Huguet, Frederic Devernay
TMI
1998
137views more  TMI 1998»
13 years 7 months ago
Dynamic Imaging and Tracer Kinetic Modeling for Emission Tomography Using Rotating Detectors
— When performing dynamic studies using emission tomography the tracer distribution changes during acquisition of a single set of projections. This is particularly true for some ...
Chi-Hoi Lau, David Dagan Feng, Brian F. Hutton, Da...
NIPS
2007
13 years 9 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman