Splatting Errors and Antialiasing
Klaus Mueller, Torsten Möller, J. Edward Swan II, Roger Crawfis, Naeem Shareef, and Roni Yagel. Splatting Errors and Antialiasing. IEEE Transactions on Visualization and Computer Graphics, 4(2):178–191, April-June 1998.
Winner of a Naval "Notable Achievement" Award.
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Abstract
This paper describes three new results for volume rendering algorithms utilizing splatting. First, an antialiasing extension to the basic splatting algorithm is introduced that mitigates the spatial aliasing for high-resolution volumes. Aliasing can be severe for high-resolution volumes or volumes where a high depth of field leads to converging samples along the perspective axis. Next, an analysis of the common approximation errors in the splatting process for perspective viewing is presented. In this context, we give different implementations, distinguished by efficiency and accuracy, for adding the splat contributions to the image plane. We then present new results in controlling the splatting errors and also show their behavior in the framework of our new antialiasing technique. Finally, current work in progress on extensions to splatting for temporal antialiasing is demonstrated. Here, we present a simple but highly effective scheme for adding motion blur to fast moving volumes.
BibTeX
@Article{IEEETVCG98-sea,
author = {Klaus Mueller and Torsten M\"{o}ller and J. Edward {Swan~II} and
Roger Crawfis and Naeem Shareef and Roni Yagel},
title = {Splatting Errors and Antialiasing},
journal = {IEEE Transactions on Visualization and Computer Graphics},
month = {April-June},
year = 1998,
volume = 4,
number = 2,
pages = {178--191},
wwwnote = {<b>Winner of a Naval "Notable Achievement" Award</b>.},
abstract = {
This paper describes three new results for volume rendering algorithms utilizing
splatting. First, an antialiasing extension to the basic splatting algorithm is
introduced that mitigates the spatial aliasing for high-resolution
volumes. Aliasing can be severe for high-resolution volumes or volumes where a
high depth of field leads to converging samples along the perspective
axis. Next, an analysis of the common approximation errors in the splatting
process for perspective viewing is presented. In this context, we give different
implementations, distinguished by efficiency and accuracy, for adding the splat
contributions to the image plane. We then present new results in controlling the
splatting errors and also show their behavior in the framework of our new
antialiasing technique. Finally, current work in progress on extensions to
splatting for temporal antialiasing is demonstrated. Here, we present a simple
but highly effective scheme for adding motion blur to fast moving volumes.
},
}