Research at VRVis
The mission of VRVis is to bridge the gap between science and industry. This enables an efficient transfer from basic research to industrial application.
Research Topics
The research focus of VRVis is Visual Computing, where we perform research on transforming data into meaningful visual images through novel software algorithms, as well as
optimizing the interaction between software and hardware. Visual Computing is a very broad
field that copes with a large variety of data sources. Correspondingly, research projects
at VRVis encompass a very wide range of data types and application fields, including
engine simulation, computed tomography, magnetic resonance imaging, aerial images,
laser range scans, financial data, and seismic measurements for oil field exploration.
The most important goal of our research is to visualize data in a way that provides
the user with optimal insight and value. Key factors are real-time capability, interaction,
and the quality and accuracy of the resulting visual representations, as well as the
possibility to conduct meaningful analyses.
Within VRVis the topic Visual Computing is structured into four fields:
More information can be found at the respective fields.
Scientific partners
The high quality of research which is documented by numerous publications at conferences like Siggraph, IEEE Visualization, Eurographics etc. is implemented by VRVis through close cooperations with important scientific partners. Substantial is the cooperation with the Institute of Computer Graphics and Algorithms at the Vienna Technical University as well as the Institute for Computer Graphics and Vision at the Graz Technical University. Other institutes from these universities are providing complementary knowledge. The international visibility of reserach work conducted at VRVis can be seen through the cooperation with other leading institutions like Harvard University, Virgina Tech, ETH Zürich, IGD Darmstadt and the University of Bergen.
