Visual Computing

This cluster represents and pools the expertise at the Technical University Munich in Visual Computing. It is concerned with the development of efficient algorithms and systems for the improved sensor-based reconstruction, computer-aided synthesis, and interactive graphical representation of visual data. Major challenges we address are with respect to the ever growing size of the data to be handled, and the time constraints that are more and more often imposed in practical applications.

The cluster aims at bringing the developed technologies into application areas and bundling existing activities at the Technical University of Munich. It serves as an interface between national and international research institutes and corporations, with the the goal of collaborative research and development.


Prof. Rüdiger Westermann
Prof. Nils Thuerey
Prof. Daniel Cremers
Prof. Darius Burschka
Prof. Hans-Joachim Bungartz
Prof. Thomas Huckle
Prof. Gudrun Klinker
Prof. Bjoern Menze
Prof. Matthias Niessner
Prof. Burkhard Rost

Current Activities

Gottfried Wilhelm Leibniz Prize (Prof. Daniel Cremers)

Prof. Daniel Cremers has been awarded the most important German science prize: the Leibniz Prize of the German Research Foundation (DFG). He is being recognized for his trend-setting research on mathematical image processing and pattern recognition. This research aims to endow machines with the ability to analyze and interpret visual data.

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The Grants awarded by the European Research Council (ERC) are among the continent's most prestigious research funding awards.

ERC Proof of Concept Grant "Vis4Weather" (Prof. Rüdiger Westermann)

In 2016, Prof. Rüdiger Westermann received the ERC Proof of Concept (PoC) Grant for the project "Vis4Weather". Building on research results of his ERC Advanced Grant "SaferVis" (see below) and research from the DFG-funded transregional Collaborative Research Centre "waves, clouds, weather", the project will explore the practical applications of visualization of the fuzziness of weather data shall be explored. In the ERC-funded PoC project, Westermann and his coworkers aim to study the potential of an operational use of meteorological data visualization at weather centers and the potential of such visualization tools for training forcasters, decision makers and researchers in 3D ensembles.

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ERC Advanced Grant "SaferVis" (Prof. Rüdiger Westermann)

ERC Advanced Grants are designed to allow outstanding research leaders to pursue ground-breaking, high-risk projects in Europe. According to ERC the program targets researchers who have already established themselves as top independent research leaders.

Prof. Rüdiger Westermann was honored with an ERC Advanced Grant for research in the area of uncertainty visualization. Visualization has significantly changed the way humans analyze lager amounts of multi-dimensional data. The research project "SaferVis: Uncertainty Visualization for Reliable Data Discovery" challenges the status quo in visual data analysis with innovative ideas for next-generation technology that provides uncertainty visualization as a core methodology. It aims at developing a visual language for the communication of the variability of features due to uncertainties in the data generation and visualization processes.

Eligibility period: 01.03.2012 to 28.02.2017

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ERC Consolidator Grant "3D-Reloaded" (Prof. Daniel Cremers)

The ERC bestows the Consolidator Grants to outstanding scientists who have made a name for themselves through pioneering achievements between seven and twelve years after the completion of their doctorates.

Prof. Daniel Cremers carries out research in the fields of mathematical image processing and pattern recognition. He has been awarded an ERC Consolidator Grant for his “3D-Reloaded” project. The aim of the project is to create 3-D models of the real world from two-dimensional videos recorded using cameras, for example cell phone cameras. The resulting models could be used, for example, to calculate how much lignite was extracted from a mine over a particular period of time. They could also be used to explore the world’s most remote regions while sitting at a PC and could also enable film viewers to select the perspective from which they see an action. The analysis of the three-dimensional models is another of Prof. Cremers’ research interests. In medicine, this technology could enable the reconstruction of organs and the testing of the resulting models for anomalies. The models could also document and analyze the development of motion sequences performed by dancers and gymnasts.

Eligibility period: 01.09.2015 to 31.08.2020

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ERC Starting Grant "realFlow" (Prof. Nils Thuerey)

The ERC awards Starting Grants to promising young researchers two to seven years after the completion of their doctorates.

Prof. Nils Thuerey was awarded an ERC Starting Grant for his project “realFlow - Virtualization of Real Flows for Animation and Simulation”. The aim of this research project is to improve the simulation of physical processes and, above all, make it possible to generate such simulations more quickly. The focus here is on liquids and gases, so-called fluids. Simulations of fluids can be very useful in many applications – for example in the design of aircraft wings and the depiction of explosions in films and computer games. Blood flow simulations in medicine can help in the assessment of the threat posed by aneurisms. Prof. Thuerey plans to create a database containing previously-calculated simulations and video recordings of the behavior of real fluids. This information would then be available for new simulations. The project involves, firstly, the development of a database design that will enable the processing, comparison and classification of enormous volumes of data. Video recordings of the actual liquids or gases must also be analyzed and transformed into compatible data.

Eligibility period: 01.05.2015 to 30.04.2020

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Exemplary Projects

Scale-aware Navigation of a Low-cost Quadrocopter with a Monocular Camera

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Streamline Variability Plots for Characterizing the Uncertainty in Vector Field Ensembles

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From Capture to Simulation - Connecting Forward and Inverse Problems in Fluids

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Textured/textureless object recognition and pose estimation using RGB-D image

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