2009
DOI: 10.1016/j.cagd.2009.04.002
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Quasi-interpolation by quadratic -splines on truncated octahedral partitions

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Cited by 5 publications
(8 citation statements)
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“…8 Here we summarize the main ideas and the necessary basics needed to understand our visualization pipeline.…”
Section: Splines On Truncated Octahedral Partitionsmentioning
confidence: 99%
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“…8 Here we summarize the main ideas and the necessary basics needed to understand our visualization pipeline.…”
Section: Splines On Truncated Octahedral Partitionsmentioning
confidence: 99%
“…8 This spline is based on a more complex tetrahedral partition using a truncated octahedral partition of the volumetric domain, see Section 3, and provides a better numerical approximation of the original data compared to the cubic splines on type-6 tetrahedral partitions.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, to cover the whole domain we need one-quarter as many TOs as there are data points in the volumetric grid. The spline approximation scheme 9 is described through a linear operator, which maps the set of discrete data values into the space of quadratic C 1 splines regarding the uniform tetrahedral partition described in the previous section. This operator is given explicitly by concrete formulae for the computation of the spline coefficients in B-form as simple linear combinations of some local data values.…”
Section: The Truncated Octahedral Partition and The Data Meshmentioning
confidence: 99%
“…Basics about the B-form will be given below; further details and references can be found in Rhein and Kalbe. 9 The B-form has several advantages, including stable evaluation of the spline and its derivatives. For smoothness between neighbouring polynomials only local rules based on geometrical conditions have to be considered.…”
Section: Trivariate Bernstein–bézier Splinesmentioning
confidence: 99%
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