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» Reconstructing Algebraic Functions from Mixed Data
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ISBI
2004
IEEE
16 years 3 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl
ICASSP
2008
IEEE
15 years 9 months ago
A confidence measure and iterative rank-based method for temporal registration
In this paper we develop a confidence measure that can determine if a given set of samples is suitable for inclusion in the reconstruction of a higher resolution dataset. The con...
Meghna Singh, Mrinal K. Mandal, Anup Basu
ICASSP
2010
IEEE
15 years 3 months ago
Graph-based regularization for spherical signal interpolation
This paper addresses the problem of the interpolation of 2-d spherical signals from non-uniformly sampled and noisy data. We propose a graph-based regularization algorithm to impr...
Tamara Tosic, Tamara Frossard
VIS
2008
IEEE
154views Visualization» more  VIS 2008»
16 years 4 months ago
Volume MLS Ray Casting
The method of Moving Least Squares (MLS) is a popular framework for reconstructing continuous functions from scattered data due to its rich mathematical properties and well-underst...
Christian Ledergerber, Gaël Guennebaud, Miriah ...
WMPI
2004
ACM
15 years 8 months ago
The Opie compiler from row-major source to Morton-ordered matrices
The Opie Project aims to develop a compiler to transform C codes written for row-major matrix representation into equivalent codes for Morton-order matrix representation, and to a...
Steven T. Gabriel, David S. Wise