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15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021

作者： Ruediger, Patrick Claus, Felix Leonhardt, Viktor Hagen, Hans Aurich, Jan C. Garth, Christoph Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany Computer Graphics and HCI Lab Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany Scientific Visualization Lab Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany

We present PREVIS, a visual analytics tool, enhancing machine learning performance analysis in engineering applications. The presented toolchain allows for a direct comparison of regression models. In addition, we provide a methodology to visualize the impact of regression errors on the underlying field of interest in the original domain, the part geometry, via exploiting standard interpolation methods. Further, we allow a real-time preview of user-driven parameter changes in the displacement field via visual interpolation. This allows for fast and accountable online change management. We demonstrate the effectiveness with an ex-ante optimization of an automotive engine hood. © 2022 Elsevier B.V.. All rights reserved.

关键词： Quality control

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Interactive quality inspection of measured deviations in sheet metal assemblies 2

Interactive quality inspection of measured deviations in she...

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2nd International Conference of the DFG International Research Training Group 2057 - Physical Modeling for Virtual Manufacturing, iPMVM 2020

作者： Claus, Felix Hagen, Hans Leonhardt, Viktor Leitte, Heike Hamann, Bernd Computer Graphics and HCI Lab Computer Science Department Technische Universität Kaiserslautern Germany Scientific Visualization Lab Computer Science Department Technische Universität Kaiserslautern Germany Visual Information Analysis Computer Science Department Technische Universität Kaiserslautern Germany Department of Computer Science University of California DavisCA95616 United States

ISBN: (纸本)9783959771832

We present an exploratory data analysis approach for finite element (FE) simulations to interactively inspect measured deviations in sheet metals arising in automotive applications. Exterior car body parts consist of large visible surfaces, and strict tolerances must be met by them to satisfy both aesthetic requirements and quality performance requirements. To fulfill quality requirements like gap and flushness, exterior vehicle components have adjustable mechanical boundaries. These boundaries are used to influence the shape and position of a sheet metal part relative to its chassis. We introduce a method that supports an inspection engineer with an interactive framework that makes possible a detailed analysis of measured sheet metal deviation fields generated from 3D scans. An engineer can interactively change boundary conditions and obtains the resulting deviation field in real-time. Thus, it is possible to determine viable and desirable adjustments efficiently, leading to time and cost savings in the assembly process. © Felix Claus, Hans Hagen, Viktor Leonhardt, Heike Leitte, and Bernd Hamann.

关键词： Inspection

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PREVIS - A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control

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Procedia CIRP 2022年 112卷 483-488页

作者： Patrick Ruediger Felix Claus Viktor Leonhardt Hans Hagen Jan C. Aurich Christoph Garth Institute for Manufacturing Technolgy and Production Systems (FBK) Technische Universität Kaiserslautern P. O. Box 3049 67653 Kaiserslautern Germany Computer Graphics & HCI Lab Technische Universität Kaiserslautern P. O. Box 3049 67653 Kaiserslautern Germany Scientific Visualization Lab Technische Universität Kaiserslautern P. O. Box 3049 67653 Kaiserslautern Germany

关键词： Explainable Machine Learning Quality Control Reverse Engineering Assembly Process visualization

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PREVIS-A combined machine learning and visual interpolation approach for interactive reverse engineering in assembly quality control

arXiv

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arXiv 2022年

作者： Ruediger, Patrick Claus, Felix Leonhardt, Viktor Hagen, Hans Aurich, Jan C. Garth, Christoph Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany Computer Graphics & HCI Lab Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany Scientific Visualization Lab Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany

关键词： Quality control

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A comparison of rendering techniques for large 3D line sets with transparency

arXiv

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arXiv 2019年

作者： Kern, Michael Neuhauser, Christoph Maack, Torben Han, Mengjiao Usher, Will Westermann, Rüdiger Computer Graphics & Visualization Group Technische Universität München Garching Germany Scientific Computing and Imaging Institute University of Utah United States

This paper presents a comprehensive study of interactive rendering techniques for large 3D line sets with transparency. The rendering of transparent lines is widely used for visualizing trajectories of tracer particles in flow fields. Transparency is then used to fade out lines deemed unimportant, based on, for instance, geometric properties or attributes defined along them. Since accurate blending of transparent lines requires rendering the lines in back-to-front or front-to-back order, enforcing this order for 3D line sets with tens or even hundreds of thousands of elements becomes challenging. In this paper, we study CPU and GPU rendering techniques for large transparent 3D line sets. We compare accurate and approximate techniques using optimized implementations and a number of benchmark data sets. We discuss the effects of data size and transparency on quality, performance and memory consumption. Based on our study, we propose two improvements to per-pixel fragment lists and multi-layer alpha blending. The first improves the rendering speed via an improved GPU sorting operation, and the second improves rendering quality via a transparency-based bucketing. Copyright © 2019, The Authors. All rights reserved.

关键词： Transparency

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IDEAS: Immersive dome experiences for accelerating science

arXiv

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arXiv 2019年

作者： Faherty, Jacqueline K. SubbaRao, Mark Wyatt, Ryan Ynnerman, Anders deGrasse Tyson, Neil Geller, Aaron Weber, Maria Rosenfield, Philip Stoeckle, Gabriel Weiskopf, Daniel Magnor, Marcus Williams, Peter K.G. Abbott, Brian Marchetti, Lucia Jarrrett, Thomas Fay, Jonathan Peek, Joshua Graur, Or Durrell, Patrick Homeier, Derek Preston, Heather Müller, Thomas Vos, Johanna M. Brown, David Godfrey, Paige Giorla Rice, Emily Gagliuffi, Daniella Bardalez Bock, Alexander American Museum of Natural History Hayden Planetarium Adler Planetarium International Planetarium Society California Academy of Sciences Linköping University Adler Planetarium University of Chicago AAS WorldWide Telescope Instituto de Astronomiá UNAM Natural History Museum Vienna Austria Visualization Research Center University of Stuttgart Computer Graphics Lab TU Braunschweig Center for Astrophysics | Harvard & Smithsonian American Astronomical Society American Museum of Natural History Hayden Planetarium University of Cape Town Iziko Planetarium & Digital Dome Space Telescope Science Institute Johns Hopkins University Youngstown State University Ward Beecher Planetarium Förderkreis Planetarium Göttingen Germany Calusa Nature Center & Planetarium Haus der Astronomie MPIA Microsoft Research Slooh CUNY Macaulay Honors College Scientific Computing and Imaging Institute University of Utah

Astrophysics lies at the crossroads of big datasets (such as the Large Synoptic Survey Telescope and Gaia), open source software to visualize and interpret high dimensional datasets (such as Glue, WorldWide Telescope, and OpenSpace), and uniquely skilled software engineers who bridge data science and research fields. At the same time, more than 4,000 planetariums across the globe immerse millions of visitors in scientific data. We have identified the potential for critical synergy across data, software, hardware, locations, and content that-if prioritized over the next decade-will drive discovery in astronomical research. Planetariums can and should be used for the advancement of scientific research. Current facilities such as the Hayden Planetarium in New York City, Adler Planetarium in Chicago, Morrison Planetarium in San Francisco, the Iziko Planetarium & Digital Dome Research Consortium in Cape Town, and visualization Center C in Norrköping are already developing software which ingests catalogs of astronomical and multi-disciplinary data critical for exploration research primarily for the purpose of creating scientific storylines for the general public. We propose a transformative model whereby scientists become the audience and explorers in planetariums, utilizing software for their own investigative purposes. In this manner, research benefits from the authentic and unique experience of data immersion contained in an environment bathed in context and equipped for collaboration. Consequently, in this white paper we argue that over the next decade the research astronomy community should partner with planetariums to create visualization-based research opportunities for the field. Realizing this vision will require new investments in software and human capital. Copyright © 2019, The Authors. All rights reserved.

关键词： Planetariums

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3rd International Workshop on visualization in Medicine and Life Sciences, VMLS 2013

作者： Fangerau, Jens Höckendorf, Burkhard Rieck, Bastian Heine, Christian Wittbrodt, Joachim Leitte, Heike Computer Graphics and Visualization Heidelberg University Heidelberg Germany Centre for Organismal Studies Heidelberg University Heidelberg Germany Scientific Visualization Group ETH Zürich Zürich Switzerland

ISBN: (纸本)9783319245218

Automatic feature tracking is widely used for the analysis of timedependent data. If the features exhibit splitting behavior, it is best characterized by tree-like tracks. For a large number of time steps, each with numerous features, these data become increasingly difficult to analyze. In this paper, we focus on the problem of comparing and contrasting hundreds to thousands of trees to support developmental biologists in their study of cell division patterns in embryos. To this end, we propose a new visual analytics method called structure map. This two-dimensional, color-coded map arranges trees into tiles along a Hilbert curve, preserving a tree similarity measure, which we define via graph Laplacians. The structure map supports both global and local analysis based on user-selected tree descriptors. It helps analysts identify similar trees, observe clustering and sizes of clusters within the forest, and detect outliers in a compact and uniform representation. We apply the structure map for analyzing 3D cell tracking from two periods of zebrafish embryogenesis: blastulation to early epiboly and tailbud extension. In both cases, we show how the structure map supported biologists to find systematic differences in the data set as well as detect erroneous cell behaviors. © Springer International Publishing Switzerland 2016.

关键词： Cell proliferation

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Dynamic multiscale visualization of flight data

Dynamic multiscale visualization of flight data

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International Conference on computer Vision Theory and Applications (VISAPP)

作者： Tijmen Klein Matthew van der Zwan Alexandru Telea Scientific Visualization and Computer Graphics University of Groningen Groningen The Netherlands

ISBN: (纸本)9781479976867

We present a novel set of techniques for visualization of very large data sets encoding flight information obtained from Air Traffic Control. The aims of our visualization are to provide a smooth way to explore the available information and find outlier spatio-temporal patterns by navigating between fine-scale, detail, views on the data and coarse overviews of large areas and long time periods. To achieve this, we extend and adapt several image-based visualization techniques, including animation, density maps, and bundled graphs. In contrast to previous methods, we are able to visualize significantly more information on a single screen, with limited clutter, and also create real-time animations of the data. For computational scalability, we implement our method using GPU-accelerated techniques. We demonstrate our results on several real-world data sets ranging from hours over a country to one month over the entire world.

关键词： Data visualization Image color analysis Animation Airports Scalability Trajectory Airplanes

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A dense medial descriptor for image analysis

A dense medial descriptor for image analysis

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8th International Conference on computer Vision Theory and Applications, VISAPP 2013

作者： Van Der Zwan, Matthew Meiburg, Yuri Telea, Alexandru Scientific Visualization and Computer Graphics University of Groningen Nijenborgh 9 Groningen Netherlands University of Medicine and Pharmacy Carol Davila Bucharest Romania

ISBN: (纸本)9789898565471

We present dense medial descriptors, a new technique which generalizes the well-known medial axes to encode and manipulate whole 2D grayvalue images, rather than binary shapes. To compute our descriptors, we first reduce an image to a set of threshold-sets in luminance space. Next, we compute a simplified representation of each threshold-set using a noise-resistant medial axis transform. Finally, we use these medial axis transforms to perform a range of operations on the input image, from perfect reconstruction to segmentation, simplification, and artistic effects. Our pipeline can robustly handle any 2D grayscale image, is easy to use, and allows an efficient CPU or GPU-based implementation. We demonstrate our dense medial descriptors with several image-processing applications.

关键词： Image segmentation

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GPU-ASIFT: A fast fully affine-invariant feature extraction algorithm

GPU-ASIFT: A fast fully affine-invariant feature extraction ...

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2013 11th International Conference on High Performance Computing and Simulation, HPCS 2013

作者： Codreanu, Valeriu Dong, Feng Liu, Baoquan Roerdink, Jos B.T.M. Williams, David Yang, Po Yasar, Burhan Scientific Visualization and Computer Graphics Rijksuniversiteit Groningen Groningen Netherlands Department of Computer Science and Technology University of Bedfordshire Bedfordshire United Kingdom Rotasoft Inc United Kingdom

ISBN: (纸本)9781479908363

This paper presents a method that takes advantage of powerful graphics hardware to obtain fully affine-invariant image feature detection and matching. The chosen approach is the accurate, but also very computationally expensive, ASIFT algorithm. We have created a CUDA version of this algorithm that is up to 70 times faster than the original implementation, while keeping the algorithm's accuracy close to that of ASIFT. It's matching performance is therefore much better than that of other non-fully affine-invariant algorithms. Also, this approach was adapted to fit the multi-GPU paradigm in order to assess the acceleration potential from modern GPU clusters. © 2013 IEEE.

关键词： computer vision

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