At the University of Stuttgart's visualisation research centre, about 30 scientists work in different areas of scientific visualisation, visual analytics, visual computing and computer graphics, as well as in interdisciplinary, applied research. The latter results in close co-operation with non-visualisation disciplines at the University of Stuttgart. This DataVerse contains research data produced by the institute in the aforementioned research areas. For additional data, we recommend also visiting the DataVerse of VIS, which is the visualisation institute of the faculty of computer science, electrical engineering and information technology.
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551 to 558 of 558 Results
visualizationHD.png
visualizationHD.png
Mar 2, 2023 - Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"
PNG Image - 691.2 KB - MD5: 54c530b00f39a3f8629f70dd045400da
visualization.svg
Mar 2, 2023 - Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"
SVG Image - 1.7 MB - MD5: 757b66349f3b72f7c9a391e1486e7020
Constrained Dynamic Mode Decomposition - Supplemental Material
Nov 9, 2022
Krake, Tim; Klötzl, Daniel; Eberhardt, Bernhard; Weiskopf, Daniel, 2022, "Constrained Dynamic Mode Decomposition - Supplemental Material", https://doi.org/10.18419/DARUS-3107, DaRUS, V1
In this supplemental material, we provide additional application results of constrained Dynamic Mode Decomposition and a parameter study for the delay parameter d that complement the evaluation in the main document: The paper on Constrained Dynamic Mode Decomposition published with IEEE Transactions on Visualization and Computer Graphics. In this c...
constrainedDMD_supplemental.pdf
Nov 9, 2022 - Constrained Dynamic Mode Decomposition - Supplemental Material
Adobe PDF - 2.6 MB - MD5: 92895ea5b98d91e926b089c726693827
Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning
Dec 15, 2020
Hägele, David; Abdelaal, Moataz; Oguz, Ozgur S.; Toussaint, Marc; Weiskopf, Daniel, 2020, "Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning", https://doi.org/10.18419/DARUS-1128, DaRUS, V1
Supplemental material for the paper "Visualization of Nonlinear Programming for Robot Motion Planning". It comprises a video and source code of a visual analytics system for analyzing constrained optimization runs. The video showcases the interactive features of the system by demonstrating two analysis scenarios. The source code includes the robot...
2020-VINCI-VisNLP-main.tar.gz
Dec 15, 2020 - Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning
Gzip Archive - 12.8 MB - MD5: 436dc0f44a60d92c08fe19d528b46ca4
vinci_2020_haegele.mp4
Dec 15, 2020 - Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning
MPEG-4 Video - 80.9 MB - MD5: 2ab300d9087de4e0c3bd512ef2767951
FlowVis(Universität Stuttgart)
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Feb 4, 2020
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