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VVS
1998
IEEE

Design of Accurate and Smooth Filters for Function and Derivative Reconstruction

14 years 3 months ago
Design of Accurate and Smooth Filters for Function and Derivative Reconstruction
The correct choice of function and derivative reconstruction filters is paramount to obtaining highly accurate renderings. Most filter choices are limited to a set of commonly used functions, and the visualization practitioner has so far no way to state his preferences in a convenient fashion. Much work has been done towards the design and specification of filters using frequency based methods. However, for visualization algorithms it is more natural to specify a filter in terms of the smoothness of the resulting reconstructed function and the spatial reconstruction error. Hence, in this paper, we present a methodology for designing filters based on spatial smoothness and accuracy criteria. We first state our design criteria and then provide an example of a filter design exercise. We also use the filters so designed for volume rendering of sampled data sets and a synthetic test function. We demonstrate that our results compare favorably with existing methods.
Torsten Möller, Klaus Mueller, Yair Kurzion,
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where VVS
Authors Torsten Möller, Klaus Mueller, Yair Kurzion, Raghu Machiraju, Roni Yagel
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