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Ruben Bauer

M. Sc.

Doctoral Researcher
Visualization Research Center (VISUS)
Sedlmair Group

Contact

+49 711 685 60934
Email

Allmandring 19
70569 Stuttgart
Germany
Room: 00.007

Publications

2023
1. Bauer, Ruben ; Ngo, Quynh Quang ; Reina, Guido ; Frey, Steffen ; Flemisch, Bernd ; Hauser, Helwig ; Ertl, Thomas ; Sedlmair, Michael: Visual Ensemble Analysis of Fluid Flow in Porous Media across Simulation Codes and Experiment. In: Transport in Porous Media, Transport in Porous Media. (2023)
  - BibTeX
  - Link
  BibTeX
  @article{bauer2023visual, abstract = {We study the question of how visual analysis can support the comparison of spatio-temporal ensemble data of liquid and gas flow in porous media. To this end, we focus on a case study, in which nine different research groups concurrently simulated the process of injecting CO2 into the subsurface. We explore different data aggregation and interactive visualization approaches to compare and analyze these nine simulations. In terms of data aggregation, one key component is the choice of similarity metrics that define the relationship between different simulations. We test different metrics and find that using the machine-learning model “S4” (tailored to the present study) as metric provides the best visualization results. Based on that, we propose different visualization methods. For overviewing the data, we use dimensionality reduction methods that allow us to plot and compare the different simulations in a scatterplot. To show details about the spatio-temporal data of each individual simulation, we employ a space-time cube volume rendering. All views support linking and brushing interaction to allow users to select and highlight subsets of the data simultaneously across multiple views. We use the resulting interactive, multi-view visual analysis tool to explore the nine simulations and also to compare them to data from experimental setups. Our main findings include new insights into ranking of simulation results with respect to experimental data, and the development of gravity fingers in simulations.}, archiveprefix = {arXiv}, author = {Bauer, Ruben and Ngo, Quynh Quang and Reina, Guido and Frey, Steffen and Flemisch, Bernd and Hauser, Helwig and Ertl, Thomas and Sedlmair, Michael}, doi = {https://doi.org/10.1007/s11242-023-02019-y}, eprint = {2302.05447}, journal = {Transport in Porous Media}, primaryclass = {cs.HC}, title = {Visual Ensemble Analysis of Fluid Flow in Porous Media across Simulation Codes and Experiment}, url = {https://link.springer.com/article/10.1007/s11242-023-02019-y#citeas}, year = 2023 }
  Link
  https://link.springer.com/article/10.1007/s11242-023-02019-y#citeas
2019
1. Bruder, Valentin ; Schulz, Christoph ; Bauer, Ruben ; Frey, Steffen ; Weiskopf, Daniel ; Ertl, Thomas: Voronoi-Based Foveated Volume Rendering. In: Johansson, J. ; Sadlo, F. ; Marai, G. E. (Hrsg.) ; Johansson, J. ; Sadlo, F. ; Marai, G. E. (Hrsg.): Proceedings of the Eurographics Conference on Visualization - Short Papers (EuroVis), Proceedings of the Eurographics Conference on Visualization - Short Papers (EuroVis) : Eurographics Association, 2019 — ISBN 978-3-03868-090-1, S. 67–71
  - BibTeX
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  BibTeX
  @inproceedings{conf/vissym/BruderSBFWE19, abstract = {Foveal vision is located in the center of the field of view with a rich impression of detail and color, whereas peripheral visionoccurs on the side with more fuzzy and colorless perception. This visual acuity fall-off can be used to achieve higher frame ratesby adapting rendering quality to the human visual system. Volume raycasting has unique characteristics, preventing a directtransfer of many traditional foveated rendering techniques. We present an approach that utilizes the visual acuity fall-off toaccelerate volume rendering based on Linde-Buzo-Gray sampling and natural neighbor interpolation. First, we measure gazeusing a stationary 1200 Hz eye-tracking system. Then, we adapt our sampling and reconstruction strategy to that gaze. Finally,we apply a temporal smoothing filter to attenuate undersampling artifacts since peripheral vision is particularly sensitive tocontrast changes and movement. Our approach substantially improves rendering performance with barely perceptible changes invisual quality. We demonstrate the usefulness of our approach through performance measurements on various data se}, author = {Bruder, Valentin and Schulz, Christoph and Bauer, Ruben and Frey, Steffen and Weiskopf, Daniel and Ertl, Thomas}, booktitle = {Proceedings of the Eurographics Conference on Visualization - Short Papers (EuroVis)}, doi = {10.2312/evs.20191172}, editor = {Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta}, ee = {https://doi.org/10.2312/evs.20191172}, isbn = {978-3-03868-090-1}, pages = {67-71}, publisher = {Eurographics Association}, title = {Voronoi-Based Foveated Volume Rendering}, url = {https://doi.org/10.2312/evs.20191172}, year = 2019 }
  Link
  https://doi.org/10.2312/evs.20191172

Ruben Bauer

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Publications

2023

BibTeX

Link

2019

BibTeX

Link

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Ruben Bauer

Contact

Publications

2023

BibTeX

Link

2019

BibTeX

Link

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