Name
Abstract | ||
|---|---|---|
This article describes a combination of interactive classification and super-sampling visualization algorithms that greatly enhances the realism of 3-D reconstructions of the Visible Human data sets. Objects are classified on the basis of ellipsoidal regions in RGB space. The ellipsoids are used for super-sampling in the visualization process. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1016/S1361-8415(97)85001-3 | Medical Image Analysis |
Keywords | DocType | Volume |
visible human,segmentation,high quality volume,multi-parametric classification,volume visualization | Conference | 1 |
Issue | ISSN | ISBN |
4 | 1361-8415 | 3-540-61649-7 |
Citations | PageRank | References |
11 | 1.91 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Schiemann | 1 | 232 | 44.40 |
| Jochen Nuthmann | 2 | 11 | 1.91 |
| Ulf Tiede | 3 | 340 | 89.02 |
| Karl Heinz Höhne | 4 | 562 | 205.28 |