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We present a novel framework to build topologically correct continuous level of detail approximations of height field data that contains missing values. The framework is based on an unconstrained Delaunay triangulation algorithm, which enables us to construct approximations efficiently. The extra steps required to handle topologically non-trivial datasets are efficient, keeping the overhead to a minimum. Our algorithm is general in the sense that it only requires the input surface to be connected, but no assumptions are made on the topological type or the size of the input data. Most of the results that we will present in this paper have been generated from geological datasets. However, the techniques we describe are inherently application independent. Mehr anzeigen
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Zeitschrift / SerieCS technical report
VerlagETH, Eidgenössische Technische Hochschule, Departement of Computer Science, Institute of Scientific Computing, Computer Graphics Group
ThemaDREIDIMENSIONALE COMPUTERGRAFIK; OBJEKTMODELLIERUNG (COMPUTERGRAFIK); OBJECT MODELLING (COMPUTER GRAPHICS); THREE-DIMENSIONAL COMPUTER GRAPHICS
Organisationseinheit02150 - Dep. Informatik / Dep. of Computer Science
AnmerkungenTechnical Reports D-INFK.