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Generating, Representing and Querying Level-Of-Detail Tetrahedral Meshes

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Scientific Visualization: The Visual Extraction of Knowledge from Data

Part of the book series: Mathematics and Visualization ((MATHVISUAL))

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Summary

In this paper, we survey techniques for building, encoding and querying Level-Of-Detail (LOD) models of three-dimensional scalar fields based on a domain decomposition into tetrahedral meshes. We focus on continuous LOD models, and we classify them into unstructured (irregular) and regular nested LOD models depending on the mesh subdivision pattern and on the distribution of the data points. Within each class, we review data structures, construction algorithms, as well as techniques for extracting adaptively refined field representations from an LOD model.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Genova, Genova, Italy

    Leila De Floriani & Emanuele Danovaro

  2. Department of Computer Science, University of Maryland, College Park, MD, USA

    Leila De Floriani

Authors
  1. Leila De Floriani
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  2. Emanuele Danovaro
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Editor information

Editors and Affiliations

  1. Lab. LMC-IMAG, Universite Grenoble I, BP 53, 38041, Grenoble CX 9, France

    Georges-Pierre Bonneau

  2. Visualization and Interactive Systems Institute (VIS), University of Stuttgart, Universitätßtraße 38, 70569, Stuttgart, Germany

    Thomas Ertl

  3. Department of Computer Science and Engineering Ira A. Fulton School of Engineering, Arizona State University, Tempe, AZ, 85287-8809, USA

    Gregory M. Nielson

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© 2006 Springer-Verlag Berlin Heidelberg

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De Floriani, L., Danovaro, E. (2006). Generating, Representing and Querying Level-Of-Detail Tetrahedral Meshes. In: Bonneau, GP., Ertl, T., Nielson, G.M. (eds) Scientific Visualization: The Visual Extraction of Knowledge from Data. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-30790-7_6

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