On visual quality of optimal 3D sampling and reconstruction
GI '07 Proceedings of Graphics Interface 2007
A computable fourier condition generating alias-free sampling lattices
IEEE Transactions on Signal Processing
A box spline calculus for computed tomography
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Tomographic reconstruction of diffusion propagators from DW-MRI using optimal sampling lattices
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Symmetric box-splines on the A*n lattice
Journal of Approximation Theory
IEEE Transactions on Signal Processing
Fast space-variant elliptical filtering using box splines
IEEE Transactions on Image Processing
Proceedings of the 26th Spring Conference on Computer Graphics
Quasi-interpolation on the body centered cubic lattice
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
High-quality volumetric reconstruction on optimal lattices for computed tomography
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
GPU isosurface raycasting of FCC datasets
Graphical Models
Rendering in shift-invariant spaces
Proceedings of Graphics Interface 2013
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We introduce a family of box splines for efficient, accurate and smooth reconstruction of volumetric data sampled on the Body Centered Cubic (BCC) lattice, which is the favorable volumetric sampling pattern due to its optimal spectral sphere packing property. First, we construct a box spline based on the four principal directions of the BCC lattice that allows for a linear $C^0$ reconstruction. Then, the design is extended for higher degrees of continuity. We derive the explicit piecewise polynomial representation of the $C^0$ and $C^2$ box splines that are useful for practical reconstruction applications. We further demonstrate that approximation in the shift-invariant space---generated by BCC-lattice shifts of these box splines---is \emph{twice} as efficient as using the tensor-product B-spline solutions on the Cartesian lattice (with comparable smoothness and approximation order, and with the same sampling density). Practical evidence is provided demonstrating that not only the BCC lattice is generally a more accurate sampling pattern, but also allows for extremely efficient reconstructions that outperform tensor-product Cartesian reconstructions.