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TIP
2010
127views more  TIP 2010»
13 years 6 months ago
Bayesian Compressive Sensing Using Laplace Priors
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
CVPR
2003
IEEE
14 years 9 months ago
Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo
Visual Hull (VH) construction from silhouette images is a popular method of shape estimation. The method, also known as Shape-From-Silhouette (SFS), is used in many applications s...
German K. M. Cheung, Simon Baker, Takeo Kanade
VAST
2004
ACM
14 years 1 months ago
Digital reconstruction of the Arrigo VII funerary complex
The results of a project aimed to the study, reconstruction and presentation to the public of a monument disassembled and dispersed, the mausoleum of the emperor Arrigo VII, are p...
Clara Baracchini, Antonio Brogi, Marco Callieri, L...
ICASSP
2009
IEEE
14 years 2 months ago
CMOS compressed imaging by Random Convolution
We present a CMOS imager with built-in capability to perform Compressed Sensing coding by Random Convolution. It is achieved by a shift register set in a pseudo-random configurat...
Laurent Jacques, Pierre Vandergheynst, Alexandre B...
ISBI
2002
IEEE
14 years 8 months ago
Correction for external LOR effects in listmode reconstruction for PET
In PET imaging listmode is an alternative for projections to store the acquisition data with more accuracy. The reconstruction starting from the listmode format requires different...
Stefaan Vandenberghe, Yves D'Asseler, Rik Van de W...