Collaborative Research Center


Quantitative Methods for Visual Computing

We are living in a data society in which data is generated at amazing speed; individuals, companies, organizations, and governments are on the brink of being drawn into a massive deluge of data. The great challenge is to extract the relevant information from vast amounts of data and communicate it effectively.

Typical scenarios include decision and policy making for urban and environmental planning or understanding relationships and dependencies in complex networks, e.g., social networks or networks from the field of bioinformatics. These scenarios are not only of interest to specialized experts; in fact, there is a trend toward including the broad public, which requires the information to be presented in a reliable, faithful, and easy-to-understand fashion.

Visual computing can play a key role in extracting and presenting the relevant information.

In visual computing research the aspect of quantification is often neglected. The SFB-TRR 161 seeks to close this gap.

The long-term goal is to strengthen the research field by establishing the paradigm of quantitative science in visual computing.


November 2020

November 9, 2020
Conversations on Mixed Reality - Technologies for Health and Wellbeing

In this series experts talk about virtual reality (VR), augmented reality (AR), and mixed reality (MR). Topics of interest are research challenges, technologies, and applications of VR/AR/MR. Questions on how such technologies can be used to create a positive impact on our health and wellbeing are being raised. It is organized by SFB-TRR 161 Project Leader Albrecht Schmidt (LMU) together with Katrin Wolf (Beuth Hochschule Berlin).
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November 9, 2020
LDAV Best Paper Award

SFB-TRR 161 researchers received the Best Paper Award at the 10th IEEE Symposium on Large Data Analysis and Visualization (LDAV).
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November 6, 2020
Open Position

The SFB-TRR 161 is searching for a Press Officer (w/m/d).
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The SFB-TRR 161 organizes talks, courses, workshops, conferences and summer schools for the scientific community, and presents results and visions in public events of the transregio parters.

Further Information & Ressources


The SFB-TRR 161 produces videos to give insights into the projects and the ongoing research. Please visit our YouTube Channel.

Go to YouTube

Graduate School

Graduate School

PhD students of the projects at the Universities of Stuttgart and Konstanz, and at the Max Planck Institute for Biological Cybernetics learn and do research together on their way to the doctoral degree in visual computing.

Graduate School

Visual Computing Blog

Visual Computing Blog

The scientists of the SFB-TRR 161 as well as guest authors are blogging about their activities in computer graphics, visualization, computer vision, augmented reality, human-computer interaction, and psychology.

Visual Computing BLOG

Partner of the SFB-TRR 161