Publication List

This project aims at analysing the traffic flow of open roads in real time by a sensor fusion of radar data with video feeds. Radar gives an accurate position and velocity of vehicles making computer vision methods more robust in computing their spatial extent and classification from video streams. In this way the huge amount of raw data is reduced to semantically relevant information, which is highly memory efficient, anonymous and sufficient to reconstruct traffic flow over long time periods. Another important goal is a sophisticated 3D visualization of the reconstructed traffic flow providing interactive tools for visual analysis. Information obtained in this way will significantly contribute in adopting measures to increase traffic safety.

Natural hazards such as floods are likely to occur more often in the near future. Modern information technology can simplify the workflow of disaster management. However, none of the existing tools is tailored to the requirements of action planning. The major challenge lies in the sheer quantity of complex information the planner has to account for. The choice of the right action at the right time depends on a variety of factors and cannot be automated. Moreover, since the course of events cannot be exactly predicted, numerous, alternative scenarios have to be considered. This project is dedicated to research in the field of Visual Analytics for the development of a novel decision-support system with two major goals in mind: First, users will be able to create a large scenario pool without the need for engineering skills. Second, first responders will be empowered to exploit this scenario pool for decision making in time-critical situations.

Research on the Scalability and Confluence of Scientific Visualization and Interactive Segmentation (together with Markus Hadwiger, VRVis (main applicant))

The aim of the Scanopy project is to provide efficient algorithms for working with 3D laser scan data. The first main challenge is to improve the quality of raw scan data via filtering, scan completion and repair, making use of image information and symmetries. The second challenge is to and second to develop efficient data structures and algorithm to allow displaying huge point-based models. The third challenge is to improve the appearance of the models via lighting and relighting.

To implement and develop novel methods for reconstruction and visualisation of 3D Data in different grid structures

The aim of the Skydome Project is the improvement of day skylight models.

Showcases belong to the standard equipment of museums and other exhibitions. they are used to disply artifacts to the public, to make them available to a larger audience, and to protect them against detrimental effects of the environment. With Virtual showcases we want to introduce a new medium that allows to present hybrid exhibits.