Design Of Accurate And Smooth Filters For Function And Derivative Reconstruction
![](http://eprints.cs.univie.ac.at/5046/3/1988_-_design_of_accurate_large.png)
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.
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- Möller, Torsten
- Mueller, Klaus
- Kurzion, Yair
- Machiraju, Raghu
- Yagel, Roni
![Grafik](/style/images/pfeil_up_dunkelblau.gif)
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Full Paper in Proceedings) |
Event Title |
IEEE Symposium on Volume Visualization 1998 |
Divisions |
Visualization and Data Analysis |
Subjects |
Computergraphik |
Event Location |
North Carolina |
Event Type |
Conference |
Event Dates |
19-20 Oct. |
Date |
October 1998 |
Export |
![Grafik](/style/images/pfeil_up_dunkelblau.gif)