Summary
The paper synthetically presents the methodologies proposed for the efficient multiresolution management of large volume datasets. In particular, we review those multiresolution approaches based on simplicial meshes. The methodologies available are classified in two main streams, according to the regular or irregular refinement kernel adopted to build the multiresolution representation. A comparison, highlighting respective strength and weakness of the two classes of methods, is proposed and discussed.
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Borgo, R., Cignoni, P., Scopigno, R. (2004). Simplicial-based Multiresolution Volume Datasets Management: An Overview. In: Brunnett, G., Hamann, B., Müller, H., Linsen, L. (eds) Geometric Modeling for Scientific Visualization. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-07443-5_19
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DOI: https://doi.org/10.1007/978-3-662-07443-5_19
Publisher Name: Springer, Berlin, Heidelberg
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