The Transregional Collaborative Research Centre 161 “Quantitative Methods for Visual Computing” is an interdisciplinary research centre at the University of Stuttgart and the University of Konstanz, funded by Deutsche Forschungsgemeinschaft (DFG) under project number 251654672. Ulm University and Ludwig-Maximilians-Universität München are participating institutions in the second and third funding period. The Max Planck Institute for Biological Cybernetics in Tübingen in was a participating institution in the first funding period.

The goal of SFB/Transregio 161 is establishing the paradigm of quantitative science in the field of visual computing, which is a long-term endeavour requiring a fundamental research effort broadly covering four research areas, namely quantitative models and measures, adaptive algorithms, interaction and applications. In the third funding period, which started in 2023, new research directions are being approached. One is visual explainability, assessing and quantifying how well the users of a visualisation system understand the phenomena shown visually. The second direction targets mixed reality, covering all forms of augmented and virtual reality as a cross-cutting field of various visual computing subfields, irrespective of applied technology. The third research theme aims to bring research results in the world, moving away from experiments in the laboratory and in the wild to openly accessible applications that provide research results, methods, data sets, and other outcomes from SFB/Transregio 161 to a wide range of stakeholders in academia, industry, teaching, and society in general.

In SFB/Transregio 161, approximately 40 scientists in the fields of computer science, visualisation, computer vision, human computer interaction, linguistics and applied psychology are jointly working on improving the quality of future visual computing methods and applications.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

3,611 to 3,620 of 3,637 Results
PNG Image - 966.1 KB - MD5: d10a314c2e1cfc5739406b6b30e44378
DocumentationExample
Sample rendering of the "foraminifera.dat" data set.
PNG Image - 42.6 KB - MD5: a5491576891630c9a4733122898efebb
DocumentationExample
Sample rendering of the "freq_0.dat" data set.
PNG Image - 302.8 KB - MD5: 6958332faefb77601a209acd033dc51f
DocumentationExample
Sample rendering of the "freq_1.dat" data set.
PNG Image - 1.5 MB - MD5: 748b602a320b3d28fb394c0798e2dc1b
DocumentationExample
Sample rendering of the "freq_256.dat" data set.
PNG Image - 470.9 KB - MD5: 77363acd76fdce8145cbd9e47b3e3c7d
DocumentationExample
Sample rendering of the "hazelnut.dat" data set.
PNG Image - 909.0 KB - MD5: 2c35cabc6040252a2f24bc199cd43475
DocumentationExample
Sample rendering of the "hoatzin.dat" data set.
PNG Image - 403.0 KB - MD5: 13e0b6d409a1af4587e70d3299b2bb36
DocumentationExample
Sample rendering of the "kingfisher.dat" data set.
PNG Image - 4.6 MB - MD5: 6570caa10f2bd16497d135ea1bb2a5c0
DocumentationExample
Sample rendering of teh "B5.vis1.mmpld" data set.
PNG Image - 1.1 MB - MD5: 08b29ef6f2e1475073010032c913de2b
DocumentationExample
Sample rendering of the "mandelbulb.dat" data set.
PNG Image - 692.9 KB - MD5: bde8e02ce51d301a2f6e66b9487344b3
DocumentationExample
Sample rendering of the "megaridis-experimental.mmpld" data set.
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.