Visualization & Imaging
Visualisation and imaging are two sides of the same coin, both lying on the border between mathematics and computer science. Visualization is occupied with making structures, objects, data and processes visible. Imaging works in the other direction, seeking to reconstruct information on the structures, objects and processes behind existing pictures or films.
Our research groups at the TUM are particularly active in the following areas of visualization and imaging:
- theoretical fundaments (what are suitable mathematical methods for the visualisation scenarios posed),
- the creation of software systems for interacitve visualization (e.g. Cinderella/CindyJS),
- the connections between discrete and continual processes (in close cooperation with the SFB/Transregio Discretization in Geometry and Dynamics),
- the reconstruction of incomplete images (Image Inpainting and reconstruction).
Professors
Related research groups
Research News
TUM ICL Workshop
Identify bridging topics, initiate collaborations and extend already established joint research efforts - these are the aims of the joint mathematics workshop with Imperial College London on 9 and 10 January 2020. Take part!
TiPES: When does the climate tip?
1.5 or 2 degrees - how much global warming is too much? Clarifying this and defining tipping points is the aim of the project Tipping Points in the Earth System (TiPES). Prof. Christian Kühn is on board of the interdisciplinary research team.
© Joshua Sortino, unsplash.com
Headquarters for applied AI in Munich
Using data resources concretely with the help of artificial intelligence: That is the goal of the Helmholtz Artificial Intelligence Cooperation Unit (HAICU). Head of the research network is Prof. Fabian Theis.
AI against errors
Using single-cell analysis, researchers study the behavior of cells. But the method is prone to errors. A deep learning algorithm can now detect these errors.
Be my Valentine! Say it with Mathematics
Send Valentine greetings with a customizable algebraic equation. With the widget "Suess" by Aaron Montag and IMAGINARY, you can see what (x²+((1+b)y)²+z²-1)³-x²z³-ay²z³=0 can look like.
© Josch13/pixabay.com
Statistical model of the Mekong water level
When the Mekong overflows its banks, millions of people are threatened by flooding. With a statistical model by Prof. Klüppelberg and a research team, the water level can be predicted.
The Discrete Mathematics of Democracy
How fair are democratic elections? And what does fair mean? In his lecture on the agony with choice, Prof. Peter Gritzmann reveals how mathematics can bring more justice into democracy.
Graduate School for Data Science
Die digitalisierte Forschung liefert riesige Datenmengen - mit großem Potenzial. Deshalb will die Munich School for Data Science jetzt Expert*innen ausbilden.