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2003 | OriginalPaper | Buchkapitel

Isosurface Extraction for Large-Scale Data Sets

verfasst von : Yarden Livnat, Charles Hansen, Christopher R. Johnson

Erschienen in: Data Visualization

Verlag: Springer US

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Isosurface extraction is an important technique for visualizing large scale three-dimensional scalar fields. Recent years have seen many acceleration methods for isosurface extraction including the space space representation and view dependent methods. In this paper, we provide an overview of isosurface extraction and describe two methods for view dependent isosurface extraction; building upon our previous research to develop a superior method. We describe the differences between the two techniques and their relative advantages and disadvantages. These methods are particularly useful for remote visualization of very large datasets.

Metadaten
Titel
Isosurface Extraction for Large-Scale Data Sets
verfasst von
Yarden Livnat
Charles Hansen
Christopher R. Johnson
Copyright-Jahr
2003
Verlag
Springer US
DOI
https://doi.org/10.1007/978-1-4615-1177-9_6