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ImprovingMeshQualityOfMarchingCubes

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Revision as of 18:57, 30 March 2007 by Cscheid (Talk | contribs)
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Contents

The paper

Carlos Dietrich, Joao Comba, Luciana Nedel, Carlos Scheidegger, John Schreiner, Claudio Silva. Edge Transformations for Improving Mesh Quality of Marching Cubes. 2007, submitted.

Reproducing the results

The results in this paper can be completely reproduced using open-source software and publicly available datasets. We will soon post here the set of workflows needed to run the experiments directly in VisTrails, along with the necessary software.

Necessary software

Our algorithm

ZIP File

Gzipped tarball

Requirements

Teem

Trimesh2

Boost

Metro

Datasets

The datasets we used are all available on the Volvis website. We use the NRRD toolset to access the data, so you need the NRRD header files to go with the raw volumes. You can get the NRRD headers and dataset we used here.

Running the Experiments

The easiest way to run the experiments is through VisTrails. We will provide a vistrail with all the necessary workflows (comparisons, mesh quality histograms, distance measures). For that you'll need VisTrails proper and some additional software.

  • VTK Version 5.0 or higher, with Python bindings
  • [1] Matplotlib
  • [2] Afront

How to not install anything

Option 1

If you already run Ubuntu Linux, you can simply add our APT repository and install the virtual package "ectmc" we are currently creating. This will install all the software you need with the right versions, so running the experiments will be a matter of downloading the actual vistrail containing the workflows and running it.

Option 2

If you don't want to do that, you can burn one of the Live CD images we will provide here, for i386 or amd64. Boot into Ubuntu, and double click on the VisTrails icon. It will open VisTrails with the right file. Click Video_Tutorial here for a VisTrails tutorial.

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