Topology-based Methods in Visualization by Helwig HauserTopology-based Methods in Visualization by Helwig Hauser

Topology-based Methods in Visualization

byHelwig HauserEditorHans Hagen, Holger Theisel

Hardcover | June 25, 2007

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Enabling insight into large and complex datasets is a prevalent theme in visualization research for which different approaches are pursued.

Topology-based methods are built on the idea of abstracting characteristic structures such as the topological skeleton from the data and to construct the visualizations accordingly. There are currently new demands for and renewed interest in topology-based visualization solutions. This book presents 13 peer-reviewed papers as written results from the 2005 workshop "Topology-Based Methods in Visualization" that was initiated to enable additional stimulation in this field. It contains a longer chapter dedicated to a survey of the state-of-the-art, as well as a great deal of original work by leading experts that has not been published before, spanning both theory and applications. It captures key concepts and novel ideas and serves as an overview of current trends in topology-based visualization research.

Topology-Based Flow Visualization, The State of the Art - Robert S. Laramee, Helwig Hauser, Lingxiao Zhao, Frits H. Post Topology-guided Visualization of Constrained Vector Fields - Ronald Peikert, Filip Sadlo Scale-Space Tracking of Critical Points in 3D Vector Fields - Thomas Klein, Thomas Ertl Feature Flow Fields in Out-of-Core Sett...
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Title:Topology-based Methods in VisualizationFormat:HardcoverDimensions:222 pagesPublished:June 25, 2007Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540708227

ISBN - 13:9783540708223

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From the Author

Enabling insight into large and complex datasets is a prevalent theme in visualization research for which different approaches are pursued.Topology-based methods are built on the idea of abstracting characteristic structures such as the topological skeleton from the data and to construct the visualizations accordingly. There are currently new demands for and renewed interest in topology-based visualization solutions. This book presents 13 peer-reviewed papers as written results from the 2005 workshop "Topology-Based Methods in Visualization" that was initiated to enable additional stimulation in this field. It contains a longer chapter dedicated to a survey of the state-of-the-art, as well as a great deal of original work by leading experts that has not been published before, spanning both theory and applications. It captures key concepts and novel ideas and serves as an overview of current trends in topology-based visualization research.

Table of Contents

Topology-Based Flow Visualization, The State of the Art - Robert S. Laramee, Helwig Hauser, Lingxiao Zhao, Frits H. Post Topology-guided Visualization of Constrained Vector Fields - Ronald Peikert, Filip Sadlo Scale-Space Tracking of Critical Points in 3D Vector Fields - Thomas Klein, Thomas Ertl Feature Flow Fields in Out-of-Core Settings - Tino Weinkauf, Holger Theisel, Hans-Christian Hege, Hans-Peter Seidel Streamline Predicates as Flow Topology Generalization - Tobias Salzbrunn, Gerik Scheuermann Topology-based versus Feature-based Flow Analysis - Challenges and an Application - Helwig Hauser, Robert S. Laramee, Helmut Doleisch Topology Based Flow Analysis and Superposition Effects - Julia Ebling, Alexander Wiebel, Christoph Garth, Gerik Scheuermann On the Applicability of Topological Methods for Complex Flow Data - Holger Theisel, Tino Weinkauf, Hans-Christian Hege, Hans-Peter Seidel Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data - Christoph Garth, Robert S. Laramee, Xavier Tricoche, Jürgen Schneider, Hans Hagen Simulation Methods for Advanced Design Engineering - Markus Trenker, Wolfgang Payer, Matthias Haigis A Practical Approach to Two-Dimensional Scalar Topology - Peer-Timo Bremer, Valerio Pascucci On the Role of Topology in Focus+Context Visualization - Ivan Viola, Eduard Gröller N-dimensional Data-Dependent Reconstruction Using Topological Changes - Zsolt Tóth, Ivan Viola, Andrej Ferko, Eduard Gröller Colorplates