Talks and Poster Presentations (with Proceedings-Entry):
Z. Toth, I. Viola, A. Ferko, E. Gröller:
"N-dimensional Data-Dependent Reconstruction Using Topological Changes";
Talk: Workshop Topology-Based Methods in Visualization,
- 2005-09-30; in: "Topology-based Methods in Visualization",
H. Hauser, H. Hagen, H. Theisel (ed.);
We introduce a new concept for a geometrically based feature preserving reconstruction technique of n-dimensional scattered data. Our goal is to generate an n-dimensional triangulation, which preserves the high frequency regions via local topology changes. It is the generalization of a 2D reconstruction approach based on data-dependent triangulation and Lawson`s optimization procedure. The definition of the mathematic optimum of the reconstruction is given. We discuss an original cost function and a generalization of known functions for the n-dimensional case.
Created from the Publication Database of the Vienna University of Technology.