## Information

- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: February 2009
- ISBN: 978-80-86943-93-0
- Location: Plzen, Tschechien
- Lecturer: Michael Glanznig
- Editor: Vaclav Skala
- Booktitle: Proceedings of the International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision
- Conference date: 2. February 2009 – 5. February 2009
- Pages: 33 – 40
- Keywords: isosurface correction, iso-value field, contouring, marching cubes, blending between isosurfaces

## Abstract

We present a locally adaptive marching cubes algorithm. It is a modification of the marching cubes algorithm where instead of a global iso-value each grid point has its own iso-value. This defines an iso-value field, which modifies the case identification process in the algorithm. The marching cubes algorithm uses linear interpolation to compute intersections of the surface with the cell edges. Our modification computes the intersection of two general line segments, because there is no longer a constant iso-value at each cube vertex. An iso-value field enables the algorithm to correct biases within the dataset like low frequency noise, contrast drifts, local density variations and other artefacts introduced by the measurement process. It can also be used for blending between different isosurfaces (e.g., skin, veins and bone in a medical dataset).## Additional Files and Images

## Weblinks

No further information available.## BibTeX

@inproceedings{glanznig-2009-LAMC, title = "Locally Adaptive Marching Cubes through Iso-value Variation", author = "Michael Glanznig and Muhammad Muddassir Malik and Eduard Gr\"{o}ller", year = "2009", abstract = "We present a locally adaptive marching cubes algorithm. It is a modification of the marching cubes algorithm where instead of a global iso-value each grid point has its own iso-value. This defines an iso-value field, which modifies the case identification process in the algorithm. The marching cubes algorithm uses linear interpolation to compute intersections of the surface with the cell edges. Our modification computes the intersection of two general line segments, because there is no longer a constant iso-value at each cube vertex. An iso-value field enables the algorithm to correct biases within the dataset like low frequency noise, contrast drifts, local density variations and other artefacts introduced by the measurement process. It can also be used for blending between different isosurfaces (e.g., skin, veins and bone in a medical dataset).", month = feb, isbn = "978-80-86943-93-0", location = "Plzen, Tschechien", editor = "Vaclav Skala", booktitle = "Proceedings of the International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision", pages = "33--40", keywords = "isosurface correction, iso-value field, contouring, marching cubes, blending between isosurfaces", URL = "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/", }