Name
Abstract | ||
|---|---|---|
The contour tree, an abstraction of a scalar field that encodes the nesting relationships of isosurfaces, can be used to accelerate isosurface extraction, to identify important isovalues for volume-rendering transfer functions, and to guide exploratory visualization through a flexible isosurface interface. Many real-world data sets produce unmanageably large contour trees which require meaningful simplification. We define local geometric measures for individual contours, such as surface area and contained volume, and provide an algorithm to compute these measures in a contour tree. We then use these geometric measures to simplify the contour trees, suppressing minor topological features of the data. We combine this with a flexible isosurface interface to allow users to explore individual contours of a dataset interactively. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/VISUAL.2004.96 | IEEE Visualization 2003 |
Keywords | Field | DocType |
individual contour,local geometric measures,contained volume,unmanageably large contour tree,flexible isosurfaces,local geometric measure,real-world data set,isosurface extraction,flexible isosurface interface,contour tree,geometric measure,dataset interactively,surface area,image segmentation,computational geometry,scalar field,volume rendering,data visualisation,feature extraction,transfer function,graphical user interfaces | Computer vision,Data set,Data visualization,Computer science,Visualization,Computational geometry,Isosurface,Feature extraction,Theoretical computer science,Image segmentation,Graphical user interface,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
0-7803-8788-0 | 84 | 3.22 |
References | Authors | |
19 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamish Carr | 1 | 762 | 42.21 |
| Jack Snoeyink | 2 | 2842 | 231.68 |
| Michiel van de Panne | 3 | 2089 | 160.87 |