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Fraunhofer ICT Group, Germany

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4 Papers

TEdit: A Distributed Tetrahedral Mesh Editor with Immediate Simulation Feedback

Topics: Conceptual Modeling; Industrial Processes; Team-Support Tools; Laboratory Simulation Software; Computer Simulation Techniques; Distributed and Parallel Simulation

Authors: D. W. Ströter ¹ , U. Krispel ^{2

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3} , J. S. Mueller-Roemer ^{4

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1} and D. W. Fellner ^{4

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1

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3}

Affiliations: ¹ TU Darmstadt, Interactive Graphics Systems Group, Germany , ² Fraunhofer Austria Research GmbH, Austria , ³ TU Graz, Institute of Computer Graphics and Knowledge Visualization, Austria , ⁴ Fraunhofer IGD, Darmstadt, Germany

Digital Object Identifier: 10.5220/0010544402710277

Proceedings of SIMULTECH 2021, ISBN: 978-989-758-528-9

Quick Abstract

The cycle of computer aided design and verification via physics simulation is often burdened by the use of separate tools for modeling and simulation, which requires conversion between formats, e.g. meshing for finite element simulation. This separation is often unavoidable because the tools contain specific domain knowledge which is mandatory for the task, for example a specific CAD modeling suite. We propose a distributed application that allows interactive modification of tetrahedral meshes, derived from existing CAD models. It provides immediate simulation feedback by offloading resource-intensive tasks onto multiple machines thereby enabling fast design cycles for individualized versions of mass-produced parts.

Generative Training for 3D-Retrieval

Topics: Modeling and Algorithms; Scene and Object Modeling; Geometric Computing; Fundamental Methods and Algorithms

Authors: Harald Grabner ¹ , Torsten Ullrich ¹ and Dieter W. Fellner ²

Affiliations: ¹ Institute of Computer Graphics and Knowledge Visualization (CGV) and Technische Universität Graz, Austria , ² Technische Universität Darmstadt & Fraunhofer IGD, Institute of Computer Graphics and Knowledge Visualization (CGV) and Technische Universität Graz, Germany

Digital Object Identifier: 10.5220/0005248300970105

Proceedings of GRAPP 2015/VISIGRAPP, ISBN: 978-989-758-087-1

Quick Abstract

A digital library for non-textual, multimedia documents can be defined by its functionality: markup, indexing, and retrieval. For textual documents, the techniques and algorithms to perform these tasks are well studied. For non-textual documents, these tasks are open research questions: How to markup a position on a digitized statue? What is the index of a building? How to search and query for a CAD model? If no additional, textual information is available, current approaches cluster, sort and classify non-textual documents using machine learning techniques, which have a cold start problem: they either need a manually labeled, sufficiently large training set or the (automatic) clustering / classification result may not respect semantic similarity. We solve this problem using procedural modeling techniques, which can generate arbitrary training sets without the need of any “real” data. The retrieval process itself can be performed with any method. In this article we describe the histogram of inverted distances in detail and compare it to salient local visual features method. Both techniques are evaluated using the Princeton Shape Benchmark (Shilane et al., 2004). Furthermore, we improve the retrieval results by diffusion processes.

Related Ontology Subjects/Areas/Topics (6)

Computer Vision, Visualization and Computer Graphics		Geometric Computing		Modeling and Algorithms
Fundamental Methods and Algorithms		Geometry and Modeling		Scene and Object Modeling

Web-based Visualization Platform for Geospatial Data

Topics: Visual Data Analysis and Knowledge Discovery; Multi-Field Visualization; Visualization Applications; Information and Scientific Visualization; Scientific Visualization

Authors: Martin Hecher ¹ , Christoph Traxler ² , Gerd Hesina ² , Anton Fuhrmann ² and Dieter Fellner ³

Affiliations: ¹ Fraunhofer Austria, Austria , ² VRVis, Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Austria , ³ TU Graz, Institute of Computer Graphics and Knowledge Visualization(CGV), TU Darmstadt & Fraunhofer IGD, Austria

Digital Object Identifier: 10.5220/0005359503110316

Proceedings of IVAPP 2015/VISIGRAPP, ISBN: 978-989-758-088-8

Quick Abstract

This paper describes a new platform for geospatial data analysis. The main purpose is to explore new ways to visualize and interact with multidimensional satellite data and computed models from various Earth Observation missions. The new V-MANIP platform facilitates a multidimensional exploring approach that allows to view the same dataset in multiple viewers at the same time to efficiently find and explore interesting features within the shown data. The platform provides visual analytics capabilities including viewers for displaying 2D or 3D data representations, as well as for volumetric input data. Via a simple configuration file the system can be configured for different stakeholder use cases, by defining desired data sources and available viewer modules. The system architecture, which will be discussed in this paper in detail, uses Open Geospatial Consortium web service interfaces to allow an easy integration of new visualization modules. The implemented software is based on open source libraries and uses modern web technologies to provide a platform-independent, plugin free user experience.

Automatic Fly-through Camera Animations for 3D Architectural Repositories

Topics: Scene and Object Modeling; Animation Algorithms and Techniques; Knowledge-Based Animation

Authors: Patrick Knöbelreiter ¹ , René Berndt ² , Torsten Ullrich ² and Dieter W. Fellner ³

Affiliations: ¹ Technische Universität Graz, Austria , ² Technische Universität Graz and Fraunhofer Austria Research GmbH, Austria , ³ Fraunhofer Austria Research GmbH, GRIS and TU Darmstadt & Fraunhofer IGD, Austria

Digital Object Identifier: 10.5220/0004670303350341

Proceedings of GRAPP 2014/VISIGRAPP, ISBN: 978-989-758-002-4

Quick Abstract

Virtual fly-through animations through computer generated models are a strong tool to convey properties and the appearance of these models. In, e.g., architectural models the big advantage of such a fly-through animation is that it is possible to convey the structure of the model easily. However, the path generation is not always trivial, to get a good looking animation. The proposed approach in this paper can handle arbitrary 3D models and then extract a meaningful and good looking camera path. To visualize the path HTML/X3DOM is used and therefore it is possible to view the final result in a browser with X3DOM support.

Related Ontology Subjects/Areas/Topics (6)

Animation Algorithms and Techniques		Computer Vision, Visualization and Computer Graphics		Knowledge-Based Animation
Animation and Simulation		Geometry and Modeling		Scene and Object Modeling

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