JOURNAL ARTICLE

Topology preserving and controlled topology simplifying multiresolution isosurface extraction

Abstract

Multiresolution methods are becoming increasingly important tools for the interactive visualization of very large data sets. Multiresolution isosurface visualization allows the user to explore volume data using simplified and coarse representations of the isosurface for overview images, and finer resolution in areas of high interest or when zooming into the data. Ideally, a coarse isosurface should have the same topological structure as the original. The topological genus of the isosurface is one important property which is often neglected in multiresolution algorithms. This results in uncontrolled topological changes which can occur whenever the level-of-detail is changed. The scope of this paper is to propose an efficient technique which allows preservation of topology as well as controlled topology simplification in multiresolution isosurface extraction. CR Categories: G.1.2 [Numerical Analysis]: Approximation--- Approximation of Surfaces and Contours I.3.5 [Computer Graphics ]: Co...

Keywords:
Isosurface Computer science Visualization Topology (electrical circuits) Computer graphics Data visualization Computer graphics (images) Theoretical computer science Surface (topology) Zoom Algorithm Artificial intelligence Geometry Mathematics Lens (geology) Combinatorics

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FWCI (Field Weighted Citation Impact)
30
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0.22
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Topics

Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
Data Visualization and Analytics
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Topological and Geometric Data Analysis
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
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