N-dimensional Data-Dependent Reconstruction Using
Topological Changes
Zsolt Toth, Ivan Viola, Andrej Ferko, Meister
Eduard Gröller
INPROCEEDINGS,
Topology-based Methods in Visualization (Proc. of TopoInVis 2005),
sep, 2007
AbstractWe 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.
Published
Topology-based Methods in Visualization (Proc. of TopoInVis 2005)
Media
BibTeX
@inproceedings{toth-2007-ndd,
title = "N-dimensional Data-Dependent Reconstruction Using
Topological Changes",
author = "Zsolt Toth and Ivan Viola and Andrej Ferko and Meister
Eduard Gr{\"o}ller",
year = "2007",
abstract = "We introduce a new concept for a geometrically based feature
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.",
pages = "183--198",
month = sep,
booktitle = "Topology-based Methods in Visualization (Proc. of TopoInVis 2005)",
editor = "H. Hauser, H. Hagen, H. Theisel",
publisher = "Springer",
location = "Budmerice, Slovakia",
URL = "http://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/",
}
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