An Anti-Aliasing Technique for Splatting
J. Edward Swan II, Klaus Mueller, Torsten Möller, Naeem Shareef, Roger Crawfis, and Roni Yagel. An Anti-Aliasing Technique for Splatting. In Proceedings of IEEE Visualization '97, pp. 197–204, IEEE Computer Society Press, October 1997.
Winner of the "Best Paper" award at IEEE Visualization '97.
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Abstract
Splatting is a popular direct volume rendering algorithm. However, the algorithm does not correctly render cases where the volume sampling rate is higher than the image sampling rate (e.g. more than one voxel maps into a pixel). This situation arises with orthographic projections of high-resolution volumes, as well as with perspective projections of volumes of any resolution. The result is potentially severe spatial and temporal aliasing artifacts. Some volume ray-casting algorithms avoid these artifacts by employing reconstruction kernels which vary in width as the rays diverge. Unlike ray-casting algorithms, existing splatting algorithms do not have an equivalent mechanism for avoiding these artifacts. In this paper we propose such a mechanism, which delivers high-quality splatted images and has the potential for a very efficient hardware implementation.
Additional Information
Acceptance rate: 26% (44 out of 170), Award rate: 2% (1 out of 50)
BibTeX
@InProceedings{IEEEVIS97-aas,
author = {J. Edward {Swan~II} and Klaus Mueller and Torsten M\"{o}ller and Naeem Shareef
and Roger Crawfis and Roni Yagel},
title = {An Anti-Aliasing Technique for Splatting},
booktitle = {Proceedings of IEEE Visualization '97},
location = {Phoenix, Arizona, USA},
date = {October 19--24},
month = {October},
year = 1997,
publisher = {IEEE Computer Society Press},
pages = {197--204},
wwwnote = {<b>Winner of the "Best Paper" award at IEEE Visualization '97</b>.},
abstract = {
Splatting is a popular direct volume rendering algorithm. However, the algorithm
does not correctly render cases where the volume sampling rate is higher than
the image sampling rate (e.g. more than one voxel maps into a pixel). This
situation arises with orthographic projections of high-resolution volumes, as
well as with perspective projections of volumes of any resolution. The result is
potentially severe spatial and temporal aliasing artifacts. Some volume
ray-casting algorithms avoid these artifacts by employing reconstruction kernels
which vary in width as the rays diverge. Unlike ray-casting algorithms, existing
splatting algorithms do not have an equivalent mechanism for avoiding these
artifacts. In this paper we propose such a mechanism, which delivers
high-quality splatted images and has the potential for a very efficient hardware
implementation.
},
}