VIERforES (Virtual and Augmented Reality for highest safety and reliability) is funded by the Federal Ministry of Education and Research. The goal of the project is increasing the safety and reliability of complex technical systems by crosslinking methods and technologies with application areas for better virtual engineering and software engineering according to future requirements.

The subproject 9.2 is a technology driven part of the VIERforES project. The topic of the subproject is ?Weak topological skeletons for flow visualization?. Flow data appears in different applications, e.g. automotive-, medical-, material handling- and power engineering. For the increasing amount of data visualization techniques are required that compress the information. Topological skeletons are one possibility to achieve this. Topological skeletons partition areas of equal asymptotic flow behavior. Almost all datasets to be examined are affected by uncertainties such as measurement error and noise. Many visualizations techniques have been extended to attend uncertainties, however such extensions are still unknown for topological methods. The goal of this subproject is to integrate information about the uncertainty in topological skeletons. We will call such visualization: weak topological skeleton.