Volume
OASIcs, Volume 19
Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)
- Part of: Series: Open Access Series in Informatics (OASIcs)
Event
VLUDS 2010, March 19-21, 2010, Bodega Bay, U.S.Editors
Publication Details
- published at: 2011-04-13
- Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
- ISBN: 978-3-939897-29-3
- DBLP: db/conf/vluds/vluds2010
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Document
Complete Volume
OASIcs, Volume 19, VLUDS'10, Complete Volume
Abstract
OASIcs, Volume 19, VLUDS'10, Complete Volume
Cite as
Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)
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@Proceedings{middel_et_al:OASIcs.VLUDS.2010,
title = {{OASIcs, Volume 19, VLUDS'10, Complete Volume}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2012},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010},
URN = {urn:nbn:de:0030-drops-35814},
doi = {10.4230/OASIcs.VLUDS.2010},
annote = {Keywords: Computer Graphics}
}
Document
Front Matter
Frontmatter, Table of Contents, Preface
Abstract
Frontmatter, Table of Contents, Preface
Cite as
Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. i-x, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{middel_et_al:OASIcs.VLUDS.2010.i,
author = {Middel, Ariane and Scheler, Inga and Hagen, Hans},
title = {{Frontmatter, Table of Contents, Preface}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {i--x},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.i},
URN = {urn:nbn:de:0030-drops-30904},
doi = {10.4230/OASIcs.VLUDS.2010.i},
annote = {Keywords: Frontmatter, Table of Contents, Preface}
}
Document
Finite Element Analysis for Linear Elastic Solids Based on Subdivision Schemes
Abstract
Finite element methods are used in various areas ranging from mechanical engineering to computer graphics and bio-medical applications. In engineering, a critical point is the gap between CAD and CAE. This gap results from different representations used for geometric design and physical simulation.
We present two different approaches for using subdivision solids as the only representation for modeling, simulation and visualization. This has the advantage that no data must be converted between the CAD and CAE phases. The first approach is based on an adaptive and feature-preserving tetrahedral subdivision scheme. The second approach is based on Catmull-Clark subdivision solids.
Cite as
Daniel Burkhart, Bernd Hamann, and Georg Umlauf. Finite Element Analysis for Linear Elastic Solids Based on Subdivision Schemes. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{burkhart_et_al:OASIcs.VLUDS.2010.1,
author = {Burkhart, Daniel and Hamann, Bernd and Umlauf, Georg},
title = {{Finite Element Analysis for Linear Elastic Solids Based on Subdivision Schemes}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {1--10},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.1},
URN = {urn:nbn:de:0030-drops-30928},
doi = {10.4230/OASIcs.VLUDS.2010.1},
annote = {Keywords: Subdivision solids, Finite element method, Isogeometric analysis}
}
Document
A Survey of Interface Tracking Methods in Multi-phase Fluid Visualization
Abstract
A central feature that scientists are interested in is the dynamics of fluid interfaces or the so called material boundaries in multi-fluid simulation . Visualization techniques for capturing fluid
interface are based on one of about three basic algorithms. In this paper, we give a survey of the existing interface tracking algorithms, including backgrounds, terms, procedures as well as pointers to details and further reading. We also provide a glance at the mathematical fundamentals of multi-fluid dynamics for scientists who are interested in understanding the underlying math and physics of multi-phase fluid simulation.
Cite as
Fang Chen and Hans Hagen. A Survey of Interface Tracking Methods in Multi-phase Fluid Visualization. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 11-19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{chen_et_al:OASIcs.VLUDS.2010.11,
author = {Chen, Fang and Hagen, Hans},
title = {{A Survey of Interface Tracking Methods in Multi-phase Fluid Visualization}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {11--19},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.11},
URN = {urn:nbn:de:0030-drops-30914},
doi = {10.4230/OASIcs.VLUDS.2010.11},
annote = {Keywords: Multi-phase fluid, interface tracking, topology methods}
}
Document
Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm
Abstract
Stereo matching algorithms and multi camera reconstruction algorithms are usually compared using benchmarks. These benchmarks compare the quality of the resulting depth map or reconstructed surface mesh. We describe the differences between several known stereo and multi-view stereo benchmarks and their various datasets. Also the modifications that are necessary to use our own GPU based multi camera stereo matching algorithm with the data from these benchmarks are discussed.
Cite as
Klaus Denker and Georg Umlauf. Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 20-26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{denker_et_al:OASIcs.VLUDS.2010.20,
author = {Denker, Klaus and Umlauf, Georg},
title = {{Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {20--26},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.20},
URN = {urn:nbn:de:0030-drops-30934},
doi = {10.4230/OASIcs.VLUDS.2010.20},
annote = {Keywords: Stereo matching, Multi camera, GPU}
}
Document
A Survey of Interaction Techniques and Devices for Large High Resolution Displays
Abstract
Innovations in large high-resolution wall-sized displays have been yielding benefits to visualizations in industry and academia, leading to a rapidly growing increase of their implementations. In scenarios such as these, the displayed visual information tends to be larger than the users field of view, hence the necessity to move away from traditional interaction methods towards more suitable interaction devices and techniques. This paper aspires to explore the state-of-the-art with respect to such technologies for large high-resolution displays.
Cite as
Taimur K. Khan. A Survey of Interaction Techniques and Devices for Large High Resolution Displays. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 27-35, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{khan:OASIcs.VLUDS.2010.27,
author = {Khan, Taimur K.},
title = {{A Survey of Interaction Techniques and Devices for Large High Resolution Displays}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {27--35},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.27},
URN = {urn:nbn:de:0030-drops-30944},
doi = {10.4230/OASIcs.VLUDS.2010.27},
annote = {Keywords: Interaction Techniques, High Resolution Displays}
}
Document
Detection and Identification Techniques for Markers Used in Computer Vision
Abstract
This paper summarizes and compares techniques for detecting and identifying markers in the context of computer vision. Existing approaches either use correlation, digital or topological methods for marker identification. The comparison points out, that all marker processing algorithms which employ sophisticated digital codes perform more robust and reliable. Existing bit representation schemes for these codes and marker designs are compared with each other. In the overall context it is illustrated, why the marker processing algorithm is the best performer regarding marker occlusion and minimal detectable pattern size.
Cite as
Johannes Köhler, Alain Pagani, and Didier Stricker. Detection and Identification Techniques for Markers Used in Computer Vision. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 36-44, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{kohler_et_al:OASIcs.VLUDS.2010.36,
author = {K\"{o}hler, Johannes and Pagani, Alain and Stricker, Didier},
title = {{Detection and Identification Techniques for Markers Used in Computer Vision}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {36--44},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.36},
URN = {urn:nbn:de:0030-drops-30951},
doi = {10.4230/OASIcs.VLUDS.2010.36},
annote = {Keywords: Marker Identification, Computer Vision}
}
Document
Markerless Camera Pose Estimation - An Overview
Abstract
As shown by the human perception, a correct interpretation of a 3D scene on the basis of a 2D image is possible without markers. Solely by identifying natural features of different objects, their locations and orientations on the image can be identified. This allows a three dimensional interpretation of a two dimensional pictured scene. The key aspect for this interpretation is the correct estimation of the camera pose, i.e. the knowledge of the orientation and location a picture was recorded. This paper is intended to provide an overview of the usual camera pose estimation pipeline as well as to present and discuss the several classes of pose estimation algorithms.
Cite as
Tobias Nöll, Alain Pagani, and Didier Stricker. Markerless Camera Pose Estimation - An Overview. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 45-54, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{noll_et_al:OASIcs.VLUDS.2010.45,
author = {N\"{o}ll, Tobias and Pagani, Alain and Stricker, Didier},
title = {{Markerless Camera Pose Estimation - An Overview}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {45--54},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.45},
URN = {urn:nbn:de:0030-drops-30960},
doi = {10.4230/OASIcs.VLUDS.2010.45},
annote = {Keywords: Pose Estimation}
}
Document
On Moving Least Squares Based Flow Visualization
Abstract
Modern simulation and measurement methods tend to produce meshfree data sets if modeling of processes or objects with free surfaces or boundaries is desired. In Computational Fluid Dynamics (CFD), such data sets are described by particle-based vector fields. This paper presents a summary of a selection of methods for the extraction of geometric features of such point-based vector fields while pointing out its challenges, limitations, and applications.
Cite as
Harald Obermaier, Martin Hering-Bertram, Jörg Kuhnert, and Hans Hagen. On Moving Least Squares Based Flow Visualization. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 55-63, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{obermaier_et_al:OASIcs.VLUDS.2010.55,
author = {Obermaier, Harald and Hering-Bertram, Martin and Kuhnert, J\"{o}rg and Hagen, Hans},
title = {{On Moving Least Squares Based Flow Visualization}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {55--63},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.55},
URN = {urn:nbn:de:0030-drops-30979},
doi = {10.4230/OASIcs.VLUDS.2010.55},
annote = {Keywords: Moving Least Squares, Approximation, Flow, Scientific Visualization}
}
Document
Modeling and visualizing urban sprawl and carbon footprints in Phoenix metropolitan area
Abstract
Urban planners are dealing with problems of urban sprawl and CO2 emissions. The multidimensional character of these phenomena requires new analysis and visualization tools that are unavailable in platforms like the Geographical Information Systems (GIS). This paper, first, presents an approach for measuring and monitoring urban sprawl and carbon footprints. Second, it offers a three-dimensional visualization method that takes into account the multi-dimensional nature of the data. The visualization of the data is based on an intuitive approach involving B-Splines and Bezier techniques to create three-dimensional surfaces. Finally the paper introduces an analysis tool for planners and decision makers to examine household carbon footprints in relation to their direct spatial neighborhood based on unstructured census data.
Cite as
Sebastian Petsch, Subhrajit Guhathakurta, and Hans Hagen. Modeling and visualizing urban sprawl and carbon footprints in Phoenix metropolitan area. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 64-72, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{petsch_et_al:OASIcs.VLUDS.2010.64,
author = {Petsch, Sebastian and Guhathakurta, Subhrajit and Hagen, Hans},
title = {{Modeling and visualizing urban sprawl and carbon footprints in Phoenix metropolitan area}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {64--72},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.64},
URN = {urn:nbn:de:0030-drops-30982},
doi = {10.4230/OASIcs.VLUDS.2010.64},
annote = {Keywords: Urban Sprawl, GHG Emissions, Visualization, Case Studies}
}
Document
Advanced Visualization and Interaction Techniques for Large High-Resolution Displays
Abstract
Large high-resolution displays combine the images of multiple smaller display devices to form one large display area. A total resolution that can easily comprise several hundred megapixels makes them suited for the visualization of data sets that could not be perceived entirely on desktop PCs or laptops due to their size. At the same time, user collaboration benefits from an extended screen area that facilitates interaction with screen contents as well as interaction among users. This paper discusses the challenges and opportunities of large high-resolution displays and examines ways to set up display clusters both in terms of hardware and underlying software technology. Furthermore, it investigates how to effectively harness the computational power and resources of rendering clusters to visualize giga-scale data sets. Last but not least, traditional interaction metaphors and their scalability to large displays as well as the effect of new techniques on the user experience are discussed.
Cite as
Sebastian Thelen. Advanced Visualization and Interaction Techniques for Large High-Resolution Displays. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 73-81, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{thelen:OASIcs.VLUDS.2010.73,
author = {Thelen, Sebastian},
title = {{Advanced Visualization and Interaction Techniques for Large High-Resolution Displays}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {73--81},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.73},
URN = {urn:nbn:de:0030-drops-30995},
doi = {10.4230/OASIcs.VLUDS.2010.73},
annote = {Keywords: Large High-Resolution Displays, HCI, Interaction, Visualization, Distributed Rendering}
}
Document
Open Problems in Computational Steering of Massive Parallel Unstructured Grid Based CFD Simulations
Abstract
Traditionally, analysis of flow fields resulting from computational fluid dynamics (CFD) calculations is a sequential process. The flow area defined by surrounding geometry is tessellated, a mesh is generated and divided into subregions, transferred to a cluster or supercomputer and the result is transferred back. Then, a variety of post-processing tasks should give insights to the physical problem. At that point, parameters chosen wrong can be identified and the simulation has to be done again with tweaked parameters. This is an iterative process that can be time consuming, especially if one iteration lasts more than a few days. In general, aiming at reducing the simulation times by shortening the time used to identify wrong parameters results in high productivity enhancements.
In this paper, the need for on-line monitoring and computational steering approaches for massive parallel unstructured flow simulators are presented with aircraft design as one of many possible application domains. This involves software integration aspects, data streaming and explorative visualization. Many challenges still have to be solved and this paper summarizes most important ones.
Cite as
Christian Wagner. Open Problems in Computational Steering of Massive Parallel Unstructured Grid Based CFD Simulations. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 82-89, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{wagner:OASIcs.VLUDS.2010.82,
author = {Wagner, Christian},
title = {{Open Problems in Computational Steering of Massive Parallel Unstructured Grid Based CFD Simulations}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {82--89},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.82},
URN = {urn:nbn:de:0030-drops-31002},
doi = {10.4230/OASIcs.VLUDS.2010.82},
annote = {Keywords: Computational Steering, CFD simulation, Interactive Visualization, Explorative Visualization, Virtual Reality}
}
Document
Methods for Feature Detection in Point Clouds
Abstract
This paper gives an overview over several techniques for detection of features, and in particular sharp features, on point-sampled geometry. In addition, a new technique using the Gauss map is shown. Given an unstructured point cloud, this method computes a Gauss map clustering on local neighborhoods in order to discard all points that are unlikely to belong to a sharp feature. A single parameter is used in this stage to control the sensitivity of the feature detection.
Cite as
Christopher Weber, Stefanie Hahmann, and Hans Hagen. Methods for Feature Detection in Point Clouds. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 90-99, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{weber_et_al:OASIcs.VLUDS.2010.90,
author = {Weber, Christopher and Hahmann, Stefanie and Hagen, Hans},
title = {{Methods for Feature Detection in Point Clouds}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {90--99},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.90},
URN = {urn:nbn:de:0030-drops-31018},
doi = {10.4230/OASIcs.VLUDS.2010.90},
annote = {Keywords: point cloud, sharp features, reconstruction, Gaussmap, clustering}
}
Document
Cartography of Mars in a Virtual Reality Environment
Abstract
This work aims to investigate the suitability of applying Virtual Reality techniques in the exploration of Mars terrain features in order to support the creation of topographic maps of the planet. Traditionally, these tasks are performed using Geo-Information-Systems (GIS) on desktop workstations, with a two-dimensional projection of the collected map data as the basis on which an operator performs manual feature extraction. After identifying features and characterizing them quantitatively using measurement operators, they are ultimately represented visually by so called geo-objects which are then entered into a GIS database. Within the scope of this project, a system will be developed which enables this workflow to occur entirely within a VR-environment, using appropriate navigation and interaction metaphors. The main goal of the project is to examine whether the more natural immersion in the VR-environment can help to improve the identification and spatial analysis of surface features.
Cite as
Rolf Westerteiger. Cartography of Mars in a Virtual Reality Environment. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 100-110, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{westerteiger:OASIcs.VLUDS.2010.100,
author = {Westerteiger, Rolf},
title = {{Cartography of Mars in a Virtual Reality Environment}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {100--110},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.100},
URN = {urn:nbn:de:0030-drops-31023},
doi = {10.4230/OASIcs.VLUDS.2010.100},
annote = {Keywords: Virtual Reality Environment, interaction metaphors, spatial analysis}
}
Document
Visualization in Human-Centered Virtual Factories
Abstract
In a manufacturing system (MS), a wide range of human activities are applied in production processes. The human factor plays a core role and should be incorporated into the design, planning and decision making processes. In this work we describe different definitions, developments and existing concepts of a Virtual Factory (VF) and discuss VFs from the human oriented point of view. Furthermore, we analyze the potential need and use of visualization methods in VF study and propose a human-centered VF concept. Following this concept we introduce an example implementation and describe how our model facilitates the decision making and design process in MS. In addition, we show an example of a noise analysis of working environment, which is based on our virtual factory model.
Cite as
Xiang Yang, Eduard Deines, and Jan C. Aurich. Visualization in Human-Centered Virtual Factories. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 111-119, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
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@InProceedings{yang_et_al:OASIcs.VLUDS.2010.111,
author = {Yang, Xiang and Deines, Eduard and Aurich, Jan C.},
title = {{Visualization in Human-Centered Virtual Factories}},
booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
pages = {111--119},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-29-3},
ISSN = {2190-6807},
year = {2011},
volume = {19},
editor = {Middel, Ariane and Scheler, Inga 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.2010.111},
URN = {urn:nbn:de:0030-drops-31031},
doi = {10.4230/OASIcs.VLUDS.2010.111},
annote = {Keywords: Visualization, Virtual Reality, Virtual Factory, Sound Simulation}
}