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Documents authored by Garth, Christoph

Document
Complete Volume
DOI: 10.4230/OASIcs.iPMVM.2020
OASIcs, Volume 89, iPMVM 2020, Complete Volume

Authors: Christoph Garth, Jan C. Aurich, Barbara Linke, Ralf Müller, Bahram Ravani, Gunther H. Weber, and Benjamin Kirsch

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)

Abstract
OASIcs, Volume 89, iPMVM 2020, Complete Volume
Cite as

2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 1-364, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@Proceedings{garth_et_al:OASIcs.iPMVM.2020,
  title =	{{OASIcs, Volume 89, iPMVM 2020, Complete Volume}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{1--364},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020},
  URN =		{urn:nbn:de:0030-drops-137486},
  doi =		{10.4230/OASIcs.iPMVM.2020},
  annote =	{Keywords: OASIcs, Volume 89, iPMVM 2020, Complete Volume}
}
Document
Front Matter
DOI: 10.4230/OASIcs.iPMVM.2020.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Christoph Garth, Jan C. Aurich, Barbara Linke, Ralf Müller, Bahram Ravani, Gunther H. Weber, and Benjamin Kirsch

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 0:i-0:xii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{garth_et_al:OASIcs.iPMVM.2020.0,
  author =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{0:i--0:xii},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.0},
  URN =		{urn:nbn:de:0030-drops-137497},
  doi =		{10.4230/OASIcs.iPMVM.2020.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
DOI: 10.4230/OASIcs.iPMVM.2020.4
Visitation Graphs: Interactive Ensemble Visualization with Visitation Maps

Authors: Anna-Pia Lohfink and Christoph Garth

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)

Abstract
Modern applications in computational science are increasingly focusing on understanding uncertainty in models and parameters in simulations. In this paper, we describe visitation graphs, a novel approximation technique for the well-established visualization of steady 2D vector field ensembles using visitation maps. Our method allows the efficient and robust computation of arbitrary visitation maps for vector field ensembles. A pre-processing step that can be parallelized to a high degree eschews the needs to store every ensemble member and to re-calculate every time the start position of the visitation map is changed. Tradeoffs between accuracy of generated visitation maps on one side and pre-processing time and storage requirements on the other side can be made. Instead of downsampling ensemble members to a storable size, coarse visitation graphs can be stored, giving more accurate visitation maps while still reducing the amount of data. Thus accurate visitation map creation is possible for ensembles where the traditional visitation map creation is prohibitive. We describe our approach in detail and demonstrate its effectiveness and utility on examples from Computational Fluid Dynamics.
Cite as

Anna-Pia Lohfink and Christoph Garth. Visitation Graphs: Interactive Ensemble Visualization with Visitation Maps. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 4:1-4:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{lohfink_et_al:OASIcs.iPMVM.2020.4,
  author =	{Lohfink, Anna-Pia and Garth, Christoph},
  title =	{{Visitation Graphs: Interactive Ensemble Visualization with Visitation Maps}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{4:1--4:20},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.4},
  URN =		{urn:nbn:de:0030-drops-137533},
  doi =		{10.4230/OASIcs.iPMVM.2020.4},
  annote =	{Keywords: Uncertain flow visualization, Ensemble visualization, Visitation maps, In-situ}
}
Document
DOI: 10.4230/OASIcs.iPMVM.2020.10
Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles

Authors: Patrick Ruediger, Christoph Garth, Hans Hagen, and Heike Leitte

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)

Abstract
We provide an evaluation of the applicability of video compression techniques for compressing visualization image databases that are often used for in situ visualization. Considering relevant practical implementation aspects, we identify relevant compression parameters, and evaluate video compression for several test cases, involving several data sets and visualization methods; we use three different video codecs. To quantify the benefits and drawbacks of video compression, we employ metrics for image quality, compression rate, and performance. The experiments discussed provide insight into good choices of parameter values, working well in the considered cases.
Cite as

Patrick Ruediger, Christoph Garth, Hans Hagen, and Heike Leitte. Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 10:1-10:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{ruediger_et_al:OASIcs.iPMVM.2020.10,
  author =	{Ruediger, Patrick and Garth, Christoph and Hagen, Hans and Leitte, Heike},
  title =	{{Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{10:1--10:18},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.10},
  URN =		{urn:nbn:de:0030-drops-137591},
  doi =		{10.4230/OASIcs.iPMVM.2020.10},
  annote =	{Keywords: Image Database, CinemaDB, Video Compression, Evaluation, Benchmark, In-situ}
}
Document
DOI: 10.4230/OASIcs.iPMVM.2020.19
Interpolation of Scientific Image Databases

Authors: Eric Georg Kinner, Jonas Lukasczyk, David Honegger Rogers, Ross Maciejewski, and Christoph Garth

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)

Abstract
This paper explores how recent convolutional neural network (CNN)-based techniques can be used to interpolate images inside scientific image databases. These databases are frequently used for the interactive visualization of large-scale simulations, where images correspond to samples of the parameter space (e.g., timesteps, isovalues, thresholds, etc.) and the visualization space (e.g., camera locations, clipping planes, etc.). These databases can be browsed post hoc along the sampling axis to emulate real-time interaction with large-scale datasets. However, the resulting databases are limited to their contained images, i.e., the sampling points. In this paper, we explore how efficiently and accurately CNN-based techniques can derive new images by interpolating database elements. We demonstrate on several real-world examples that the size of databases can be further reduced by dropping samples that can be interpolated post hoc with an acceptable error, which we measure qualitatively and quantitatively.
Cite as

Eric Georg Kinner, Jonas Lukasczyk, David Honegger Rogers, Ross Maciejewski, and Christoph Garth. Interpolation of Scientific Image Databases. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 19:1-19:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{kinner_et_al:OASIcs.iPMVM.2020.19,
  author =	{Kinner, Eric Georg and Lukasczyk, Jonas and Rogers, David Honegger and Maciejewski, Ross and Garth, Christoph},
  title =	{{Interpolation of Scientific Image Databases}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{19:1--19:17},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.19},
  URN =		{urn:nbn:de:0030-drops-137686},
  doi =		{10.4230/OASIcs.iPMVM.2020.19},
  annote =	{Keywords: Image Interpolation, Image Database, Cinema Database}
}
Document
DOI: 10.4230/DagRep.8.7.1
In Situ Visualization for Computational Science (Dagstuhl Seminar 18271)

Authors: Janine C. Bennett, Hank Childs, Christoph Garth, and Bernd Hentschel

Published in: Dagstuhl Reports, Volume 8, Issue 7 (2019)

Abstract
In situ visualization, i.e., visualizing simulation data as it is generated, is an emerging processing paradigm in response to trends in the area of high-performance computing. This paradigm holds great promise in its ability to access increased spatio-temporal resolution and leverage extensive computational power. However, the paradigm is also widely viewed as limiting when it comes to exploration-oriented use cases and further will require visualization systems to become more and more complicated and constrained. Additionally, there are many open research topics with in situ visualization. The Dagstuhl seminar 18271 "In Situ Visualization for Computational Science" brought together researchers and practitioners from three communities (computational science, high-performance computing, and scientific visualization) to share interesting findings, to identify lines of open research, and to determine a medium-term research agenda that addresses the most pressing problems. This report summarizes the outcomes and findings of the seminar.
Cite as

Janine C. Bennett, Hank Childs, Christoph Garth, and Bernd Hentschel. In Situ Visualization for Computational Science (Dagstuhl Seminar 18271). In Dagstuhl Reports, Volume 8, Issue 7, pp. 1-43, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{bennett_et_al:DagRep.8.7.1,
  author =	{Bennett, Janine C. and Childs, Hank and Garth, Christoph and Hentschel, Bernd},
  title =	{{In Situ Visualization for Computational Science (Dagstuhl Seminar 18271)}},
  pages =	{1--43},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{8},
  number =	{7},
  editor =	{Bennett, Janine C. and Childs, Hank and Garth, Christoph and Hentschel, Bernd},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.8.7.1},
  URN =		{urn:nbn:de:0030-drops-101714},
  doi =		{10.4230/DagRep.8.7.1},
  annote =	{Keywords: In situ processing, scientific visualization, high-performance computing, computational science, Dagstuhl Seminar}
}
Document
Complete Volume
DOI: 10.4230/OASIcs.VLUDS.2011
OASIcs, Volume 27, VLUDS'11, Complete Volume

Authors: Christoph Garth, Ariane Middel, and Hans Hagen

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011

Abstract
OASIcs, Volume 27, VLUDS'11, Complete Volume
Cite as

Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@Proceedings{garth_et_al:OASIcs.VLUDS.2011,
  title =	{{OASIcs, Volume 27, VLUDS'11, Complete Volume}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011},
  URN =		{urn:nbn:de:0030-drops-40780},
  doi =		{10.4230/OASIcs.VLUDS.2011},
  annote =	{Keywords: Computer Graphics}
}
Document
Front Matter
DOI: 10.4230/OASIcs.VLUDS.2011.i
Frontmatter, Table of Contents, Preface, List of Authors

Authors: Christoph Garth, Ariane Middel, and Hans Hagen

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011

Abstract
Frontmatter, Table of Contents, Preface, List of Authors
Cite as

Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. i-xi, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

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@InProceedings{garth_et_al:OASIcs.VLUDS.2011.i,
  author =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  title =	{{Frontmatter, Table of Contents, Preface, List of Authors}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{i--xi},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.i},
  URN =		{urn:nbn:de:0030-drops-37365},
  doi =		{10.4230/OASIcs.VLUDS.2011.i},
  annote =	{Keywords: Frontmatter, Table of Contents, Preface, List of Authors}
}
Document
DOI: 10.4230/OASIcs.VLUDS.2011.71
Feature-based Visualization of Dense Integral Line Data

Authors: Simon Schröder, Harald Obermaier, Christoph Garth, and Kenneth I. Joy

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011

Abstract
Feature-based visualization of flow fields has proven as an effective tool for flow analysis. While most flow visualization techniques operate on vector field data, our visualization techniques make use of a different simulation output: Particle Tracers. Our approach solely relies on integral lines that can be easily obtained from most simulation software. The task is the visualization of dense integral line data. We combine existing methods for streamline visualization, i.e. illumination, transparency, and halos, and add ambient occlusion for lines. But, this only solves one part of the problem: because of the high density of lines, visualization has to fight with occlusion, high frequency noise, and overlaps. As a solution we propose non-automated choices of transfer functions on curve properties that help highlighting important flow features like vortices or turbulent areas. These curve properties resemble some of the original flow properties. With the new combination of existing line drawing methods and the addition of ambient occlusion we improve the visualization of lines by adding better shape and depth cues. The intelligent use of transfer functions on curve properties reduces visual clutter and helps focusing on important features while still retaining context, as demonstrated in the examples given in this work.
Cite as

Simon Schröder, Harald Obermaier, Christoph Garth, and Kenneth I. Joy. Feature-based Visualization of Dense Integral Line Data. In Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. 71-87, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

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@InProceedings{schroder_et_al:OASIcs.VLUDS.2011.71,
  author =	{Schr\"{o}der, Simon and Obermaier, Harald and Garth, Christoph and Joy, Kenneth I.},
  title =	{{Feature-based Visualization of Dense Integral Line Data}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{71--87},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.71},
  URN =		{urn:nbn:de:0030-drops-37424},
  doi =		{10.4230/OASIcs.VLUDS.2011.71},
  annote =	{Keywords: flow simulation, feature-based visualization, dense lines, ambient occlusion}
}
Document
DOI: 10.4230/DFU.Vol2.SciViz.2011.73
On the Computation of Integral Curves in Adaptive Mesh Refinement Vector Fields

Authors: Eduard Deines, Gunther H. Weber, Christoph Garth, Brian Van Straalen, and Sergey Borovikov

Published in: Dagstuhl Follow-Ups, Volume 2, Scientific Visualization: Interactions, Features, Metaphors (2011)

Abstract
Integral curves, such as streamlines, streaklines, pathlines, and timelines, are an essential tool in the analysis of vector field structures, offering straightforward and intuitive interpretation of visualization results. While such curves have a long-standing tradition in vector field visualization, their application to Adaptive Mesh Refinement (AMR) simulation results poses unique problems. AMR is a highly effective discretization method for a variety of physical simulation problems and has recently been applied to the study of vector fields in flow and magnetohydrodynamic applications. The cell-centered nature of AMR data and discontinuities in the vector field representation arising from AMR level boundaries complicate the application of numerical integration methods to compute integral curves. In this paper, we propose a novel approach to alleviate these problems and show its application to streamline visualization in an AMR model of the magnetic field of the solar system as well as to a simulation of two incompressible viscous vortex rings merging.
Cite as

Eduard Deines, Gunther H. Weber, Christoph Garth, Brian Van Straalen, and Sergey Borovikov. On the Computation of Integral Curves in Adaptive Mesh Refinement Vector Fields. In Scientific Visualization: Interactions, Features, Metaphors. Dagstuhl Follow-Ups, Volume 2, pp. 73-91, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

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@InCollection{deines_et_al:DFU.Vol2.SciViz.2011.73,
  author =	{Deines, Eduard and Weber, Gunther H. and Garth, Christoph and Van Straalen, Brian and Borovikov, Sergey},
  title =	{{On the Computation of Integral Curves in Adaptive Mesh Refinement Vector Fields}},
  booktitle =	{Scientific Visualization: Interactions, Features, Metaphors},
  pages =	{73--91},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-26-2},
  ISSN =	{1868-8977},
  year =	{2011},
  volume =	{2},
  editor =	{Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DFU.Vol2.SciViz.2011.73},
  URN =		{urn:nbn:de:0030-drops-32880},
  doi =		{10.4230/DFU.Vol2.SciViz.2011.73},
  annote =	{Keywords: integration-based visualization, streamlines, interpolation, adaptive mesh refinement}
}
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