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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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Visual computing for archaeological artifacts with integral invariant filters in 3D

Visual computing for archaeological artifacts with integral ...

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2017 Eurographics Workshop on Graphics and Cultural Heritage, GCH 2017

作者： Mara, H. Krmker, S. Heidelberg University IWR Interdisciplinary Center for Scientific Computing Germany FCGL Forensic Computational Geometry Laboratory VNGG - Visualization and Numerical Geometry Group Mathematikon Neuenheimer Feld 205 Heidelberg69120 Germany

ISBN: (纸本)9783038680376

3D-artifacts from ancient civilizations contain many different kinds of information in form of forensic trace evidence, e.g., tool marks from styli or fingerprints on wax sealings. These very fine structures are increasingly captured by various 3D-acquisiton techniques and stored as irregular meshes. We introduce filter algorithms for the processing of these datasets to finally extract meaningful information at predefined scales. Therefore, Multiscale-Integral Invariants (MSII) are introduced as robust filter methods with their four different variants, using volume, patch, surface and line integrals for their specific sensitivity on mean curvature, Gaussian curvature or noise detection. Smoothing as known from 2D-raster image processing cannot be applied directly. It needs adaptation to the irregular structure of the triangular grids describing 2D-manifolds in *** introduce a fast 1-ring smoothing with a skillful weighting by distance and area of the neighboring points and triangles. Finally, we apply our technique to the various motivating examples for showing the results as false color images with isolines, indicating the respective field of function values, e.g., curvature in various norms or correlations in the feature space. Smooth isolines are indicators for the successful removal of noise. We finally compare the fully automated results with a manual graphic rendering of a faded handwriting found in the tomb of the empress Gisela of Swabia. © 2017 GCH 2017 - Eurographics Workshop on Graphics and Cultural Heritage. All rights reserved.

关键词： Image processing

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Correction: Completing the view - histologic insights from circular AAA specimen including 3D imaging : A methodologic approach towards histologic analysis of circumferential AAA samples

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Diagnostic pathology 2023年第1期18卷 130页

作者： Anna-Leonie Menges Maja Nackenhorst Johannes R Müller Marie-Luise Engl Renate Hegenloh Jaroslav Pelisek Ellen Geibelt Anja Hofmann Christian Reeps Gabor Biro Hans-Henning Eckstein Alexander Zimmermann Derek Magee Martin Falk Nadja Sachs Albert Busch Department for Vascular Surgery University Hospital Zurich Zurich Switzerland. Department of Pathology Medical University of Vienna Vienna Austria. DFG Cluster of Excellence ?Physics of Life? TU Dresden Dresden Germany. Department for Vascular and Endovascular Surgery Klinikum Rechts der Isar Technical University Munich Munich Germany. Light Microscopy Facility Center for Molecular and Cellular Bioengineering (CMCB) Technische Universit?t Dresden Dresden Germany. Department for Visceral- Thoracic and Vascular Surgery Medical Faculty and University Hospital Carl Gustav Carus TUD Dresden University of Technology Fetscherstrasse 74 Dresden Germany. German Center for Cardiovascular Research (DZHK) Munich Heart Alliance Berlin Germany. HeteroGenius Limited Leeds UK. School of Computing University of Leeds Leeds UK. Scientific Visualization Group Department of Science and Technology (ITN) Linköping University Linköping Sweden. Department for Vascular and Endovascular Surgery Klinikum Rechts der Isar Technical University Munich Munich Germany. albert.busch@uniklinikum-dresden.de. Department for Visceral- Thoracic and Vascular Surgery Medical Faculty and University Hospital Carl Gustav Carus TUD Dresden University of Technology Fetscherstrasse 74 Dresden Germany. albert.busch@uniklinikum-dresden.de.

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Evaluating the perception of semi-transparent structures in direct volume rendering techniques 16

Evaluating the perception of semi-transparent structures in ...

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2016 SIGGRAPH ASIA Symposium on visualization, SA 2016

作者： Englund, Rickard Ropinski, Timo Scientific Visualization Group Linköping University Sweden Visual Computing Group Ulm University Germany

ISBN: (纸本)9781450345477

Direct volume rendering (DVR) provides the possibility to visualize volumetric data sets as they occur in many scientific disciplines. A key benefit of DVR is that semi-transparency can be facilitated in order to convey the complexity of the visualized data. Unfortunately, semi-transparency introduces new challenges in spatial comprehension of the visualized data, as the ambiguities inherent to semi-transparent representations affect spatial comprehension. Accordingly, many visualization techniques have been introduced to enhance the spatial comprehension of DVR images. In this paper, we conduct a user evaluation in which we compare standard DVR with five visualization techniques which have been proposed to enhance the spatial comprehension of DVR images. In our study, we investigate the perceptual performance of these techniques and compare them against each other to find out which technique is most suitable for different types of data and purposes. In order to do this, a large-scale user study was conducted with 300 participants who completed a number of micro-tasks designed such that the aggregated feedback gives us insight on how well these techniques aid the end user to perceive depth and shape of objects. Within this paper we discuss the tested techniques, present the conducted study and analyze the retrieved results. © 2016 Copyright held by the owner/author(s).

关键词： Volume rendering

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A Maya use case: Adaptable scientific workflows with ADIOS for general relativistic astrophysics 13

A Maya use case: Adaptable scientific workflows with ADIOS f...

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Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2013

作者： Slawinska, Magdalena Bode, Tanja Logan, Jeremy Clark, Michael Zou, Hongbo Kinsey, Matthew Wolf, Matthew Laguna, Pablo Klasky, Scott Georgia Institute of Technology College of Computing Atlanta GA United States Georgia Institute of Technology School of Physics Atlanta GA United States Remote Data Analysis and Visualization Center University of Tennessee Oak Ridge TN United States Oak Ridge National Laboratory Scientific Data Group Oak Ridge TN United States

ISBN: (纸本)9781450321709

There are many challenges in analyzing and visualizing data from current cutting-edge general relativistic astrophysics simulations. Many of the associated tasks are time-consuming with large performance degradation due to the magnitude and complexity of the data. The Adaptable I/O System (ADIOS) is a componentization of the I/O layer that has demonstrated remarkable I/O performance improvements on applications running on leadership class machines while also offering new in-memory "staging" operations for transforming data in-situ. We have been incorporating ADIOS staging technologies into our Maya numerical relativity code based on Cactus infrastructure and Carpet mesh refinement. Incorporating ADIOS into the Maya code is the first step toward enabling a more adaptable Maya workflow. We provide descriptions how we intend to leverage FlexPath (an ADIOS transport method) to provide a richer user experience in real-time visualization and interactive steering. © 2013 by the Association for computing Machinery, Inc.

关键词： visualization

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Large data visualization on distributed memory multi-GPU clusters 2

Large data visualization on distributed memory multi-GPU clu...

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2nd ACM SIGGRAPH / Eurographics on High-Performance Graphics, HPG 2010

作者： Fogal, Thomas Childs, Hank Shankar, Siddharth Krüger, Jens Bergeron, R. Daniel Hatcher, Philip Scientific Computing and Imaging Institute University of Utah United States Department of Computer Science University of New Hampshire United States Lawrence Berkeley National Laboratory United States Interactive Visualization and Data Analysis Group DFKI Germany

ISBN: (纸本)9783905674262

Data sets of immense size are regularly generated on large scale computing resources. Even among more traditional methods for acquisition of volume data, such as MRI and CT scanners, data which is too large to be effectively visualized on standard workstations is now commonplace. One solution to this problem is to employ a 'visualization cluster,' a small to medium scale cluster dedicated to performing visualization and analysis of massive data sets generated on larger scale supercomputers. These clusters are designed to fit a different need than traditional supercomputers, and therefore their design mandates different hardware choices, such as increased memory, and more recently, graphics processing units (GPUs). While there has been much previous work on distributed memory visualization as well as GPU visualization, there is a relative dearth of algorithms which effectively use GPUs at a large scale in a distributed memory environment. In this work, we study a common visualization technique in a GPU-accelerated, distributed memory setting, and present performance characteristics when scaling to extremely large data sets. The Eurographics Association 2010.

关键词： Graphics processing unit

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Large Data visualization on Distributed Memory Multi-GPU Clusters 10

Large Data Visualization on Distributed Memory Multi-GPU Clu...

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Conference on High-performance Graphics

作者： Thomas Fogal Hank Childs Siddharth Shankar Jens Kriiger R. Daniel Bergeron Philip Hatcher Scientific Computing & Imaging Institute University of UtahDepartment of Computer Science University of New Hampshire Lawrence Berkeley National Laboratory Scientific Computing & Imaging Institute University of Utah Interactive Visualization and Data Analysis Group DFKI Germany Department of Computer Science University of New Hampshire

ISBN: (纸本)9781617827242

关键词： distributed memory Data visualisation visualization Dataset supercomputer Representation of data performance characteristics

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visualization as a bridge between chemical and nuclear engineering simulations

Visualization as a bridge between chemical and nuclear engin...

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作者： Fogal, Thomas Xiao, Shanjie Yang, Xue Krüger, Jens Jevremovic, Tatjana Scientific Computing and Imaging Institute University of Utah United States Radiation Protection SLAC National Accelerator Laboratory United States Utah Nuclear Engineering Program University of Utah United States Interactive Visualization and Data Analysis Group DFKI Saarbrücken Germany Civil and Environmental Engineering University of Utah United States

ISBN: (纸本)9780816910656

Collaborating across disciplines can be a difficult task for a variety of reasons. One of which is the lack of common methodologies and tools for visualization and analysis. Tools developed in one group can rarely be applied directly to data from another group, due to differences in data formats, analysis methodologies, and learning curves associated with the advanced visualization systems necessary for modern scientific data. Despite these difficulties, multi-physics collaboration is key to developing and understanding the next generation of computational models, which couple the dynamic processes and scales of multiple disciplines. As a step towards integrative models, we propose a visualization and analysis system to serve as a common interconnect between chemical and nuclear engineering. This choice allows multiple organizations to fruitfully exchange data and example visualizations in a reproducible manner, providing a foundation for productive discussion. In this work, we demonstrate the utility of a visualization system as it applies to bridging simulation domains and providing for multidisciplinary research in nuclear and chemical engineering.

关键词： visualization

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Adaptive meshing and detail-reduction of 3D-point clouds from laser scans 3

Adaptive meshing and detail-reduction of 3D-point clouds fro...

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3rd ISPRS International Workshop on 3D Virtual Reconstruction and visualization of Complex Architectures, 3D-ARCH 2009

作者： Hoppe, Christoph Krömker, Susanne Interdisciplinary Center for Scientific Computing Numerical Geometry and Visualization Group University of Heidelberg INF 368 Heidelberg69120 Germany

3D laser scanners become more and more popular especially for measuring construction sites, in the field of architecture and for preservation of monuments. As these scanners can only record discrete data sets (point clouds), it is necessary to mesh these sets for getting closed 3D models and take advantage of 3D graphics acceleration of modern graphics hardware. The meshing process is a complex issue and in the last years there were lots of algorithms developed to solve this problem. In this work a continuous Level-of-Detail (LOD) algorithm will be presented, from which a simplified 3D surface model can be created, which uses only as much triangles as needed. The grade of simplification is user-defined by an error tolerance similar to the Hausdorff distance. This algorithm is not a dynamic (view-dependent) LOD mesh simplification, but a non-redundant approximation of point clouds. It is a simple and extendable meshing algorithm, which is made up of a mixture of some techniques adapted from popular terrain LOD algorithms. The algorithm has been implemented in an OpenGL based editing tool for 3D point clouds called PointMesh, which will be explained in detail. We present examples from an excavation site (church rest of Lorsch Abbey, Germany), the inner part of the Heidelberg Tun (German: Großes Fass, an extremely large wine vat) and the Old Bridge gate, Heidelberg. For different cut-outs a performance comparison of the regular mesh to various adaptive 4-8-meshes with different error tolerances is given in terms of frame rates.

关键词： Scanning

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GPU Based Optical Character Transcription for Ancient Inscription Recognition

GPU Based Optical Character Transcription for Ancient Inscri...

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International Conference on Virtual Systems and MultiMedia

作者： Hubert Mara Jan Hering Susanne Kromker Interdisciplinary Center of Scientific Computing Visualization and Numerical Geometry Group Heidelberg University Heidelberg Germany

ISBN: (纸本)9781424448340

Motivated by the challenging questions of todays sinologists we are developing an automated system for processing of ancient Chinese inscriptions (sutras). As these inscriptions are not accessible due to location or damage our input data are noisy images of paper showing the texture of stones together with the inscriptions transfered by charcoal or pencil. Due to the vast amount and large sizes of the images we adopted highly parallelized - and therefore high-performance -- anisotropic filtering using standard computer hardware. Additionally characters are localized/segmented for further processing by optical character recognition. Real results for ancient Chinese inscriptions, which are mimicking non-standardized handwritings are shown.

关键词： Character recognition Optical character recognition software Optical filters Writing Image processing Geometrical optics Anisotropic filters Hardware Testing Documentation

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