Funded Projects of the Visual Computing Group
VIERforES Subproject 9.2 (BMBF)
VIERforES Subproject 92 (BMBF) 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...
Expressive Musical Performance for Musicological Listening Analysis (Land Sachsen-Anhalt)
Conventional musicological anaysis techniques are often limited by practical, financial, and personnel conditions Big musical corpora cannot be opened up and treated adequately Neither musicians nor studio equipment are sufficiently available to produce and evaluate various performances of compositions in proper style for contrastive listening; historical performance situations (with respect to instrumentation and acoustics) are not easily reconstructable, etc...
SemSeg (EU) - 4D Space-Time Topology for Semantic Flow Segmentation
SemSeg (EU) – 4D Space-Time Topology for Semantic Flow Segmentation The thorough analysis of flows plays an important role in many different processes, such as airplane and car design, environmental research, and medicine Scientific Visualization and its subfield flow visualization have provided a variety of techniques for the domain experts to visually analyze large and complex flow data sets Among them, so-called topological methods play an important role...
Exhaustive Visual Search for Information in Multidimensional Datasets (DFG)
Exhaustive Visual Search for Information in Multidimensional Datasets Overview of this DFG-aided joint research project between the Carolo-Wilhelmina-University Braunschweig (computer graphics lab) and the Otto-von-Guericke University Magdeburg (visual computing lab): For analyzing characteristic information, like clusters, bifurcations, correlations or structure in general, of several multidimensional datasets there are a lot of appropriate and useful techniques, mostly based on statistic approaches, which known as data mining Coeval exists an enormous knowledge about the question how you can find information in 2D images automatically, well-established as images processing The target of this research project is to use the knowledge from the images processing and make a visual search to speed up the normally data mining-based analysis of typical informations from a multidimensional dataset...Kennung: Projects