The FabFour of Volume Rendering

This project is a collaboration of

Michael Meißner, WSI/GRIS, Univ. of Tübingen,
Jian Huang, University of Tennesee, Knoxville (at the time Ohio State),
Dirk Bartz, WSI/GRIS, Univ. of Tübingen,
Klaus Müller, SUNY Stony Brook, and
Roger Crawfis, The Ohio State University.

Publications

Meißner, M. and Bartz, D..:
" Translucent and Opaque Direct Volume Rendering for Virtual Endoscopy Applications",
In Volume Graphics (VG 2001), Stony Brook, 2001. (approx. 404 KB)
Meißner, M., Huang, J., Bartz, D., Mueller, K., and Crawfis, R.:
" A Practical Evaluation of Four Popular Volume Rendering Algorithms",
In ACM Symposium on Volume Visualization, 2000. (approx. 272 KB)
Bartz, D. and Meißner, M.:
" Voxels versus Polygons: A Comparative Approach for Volume Graphics.",
In Volume Graphics VG'99, Swansea, 1999. (approx. 205 KB)

We used a bunch of datasets which are described here.
You can also get a few sample images (raycasting only).

Here are all the different views of all datasets:

Please note that in general shear warp is not capable of performing oversampling along the viewing direction, except providing a resampled higher resolution dataset. The few views with oversampling where we provided an image for shearwarp has used sampling of 1.0.
Another shortcoming is that so far all splatting images with a sampling factor of less than 0.5 are rendered using sheet buffers of width 0.5. This is a current restriction of the implementation (not of the algorithm itself) and will be fixed within the next few days.

Dataset 1, Dataset 2, Dataset 3, Dataset 4, Dataset 5, Dataset 6, Dataset 7, Dataset 8,

Here are the timings for different image sizes:

Timings depending on image size.

Here are a few movies (qt_video):

Dataset2-1orth: raycasting, splatting, shear-warp, texture-mapping
Dataset3-1orth: raycasting, splatting, shear-warp, texture-mapping

Last modified: Fri Sep 28 10:42:32 CEST 2001