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CVPR
2008
IEEE
15 years 2 days ago
An efficient algorithm for compressed MR imaging using total variation and wavelets
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
ICCV
2007
IEEE
15 years 13 hour ago
Correspondence Establishment in Statistical Modeling of Shapes with Arbitrary Topology
Correspondence establishment is a key step in statistical shape model building. There are several automated methods for solving this problem in 3D, but they usually can only handl...
Ekaterina Syrkina, Gábor Székely, Mi...
ECCV
2002
Springer
14 years 12 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
ICIP
2003
IEEE
14 years 11 months ago
A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine
In this paper, we propose a new and accurate 3D reconstruction technique for the scoliotic spine from a pair planar and conventional radiographic images (postero-anterior and late...
Said Benameur, Max Mignotte, Stefan Parent, Hubert...
ICIP
2002
IEEE
14 years 11 months ago
Edge-preserving image reconstruction for coherent imaging applications
We propose a method for edge-preserving regularized reconstruction in coherent imaging systems. In our framework, image formation from measured data is achieved through the minimi...
Alan S. Willsky, Müjdat Çetin, William...