The LabVisit is an opportunity to see current research results of the major visualization research groups of Vienna. The demos will be given by people of the VRVis (Research Center for Virtual Reality and Visualization), ICGA (Institute of Computer Graphics and Algorithms, Vienna University of Technology) and CVAST (Centre for Visual Analytics Science and Technology, Vienna University of Technology). The meeting point for a guided tour through all demos will be on Wednesday, June 6th at the registration desk. All demos will be presented in the rooms of the VRVis (TechGate).


  • When: Wednesday, 6th of June, 17:10
  • Meeting point: EuroVis registration desk
  • Demo Location: VRVis/TechGate (Directions, just in case you are too late at the meeting point)
  • Duration: appr. 90 minutes


LabVisit Map


Research Center for Virtual Reality and Visualization

VRVis Logo

VRVis Image 1 Interactive Parameter Space Exploration for Engineering Applications Using Visplore:
We present visplore by means of application examples from the automotive industry. In particular, we demonstrate the interactive visual validation of regression models and show how such models can be used for the exploration of continuous parameter spaces.
Johannes Kehrer e-mail
VRVis Image 2 HILITE: Fast Lightsimulation for Lighting Design:
We present a hardware accelerated system for high quality light simulation that provides both accurate computation and fast design cycles for lighting design.
Robert F. Tobler,
Christian Luksch,
Michael Schwärzler
VRVis Image 3 Understanding the Brain - Visualization and Data Mining for Circuit Neuroscience:
We will show an indexing, visualization and data mining system for interactive and semi-automatic exploration of a steadily growing collection of over 20.000 volumetric confocal microscopy images and thousands of segmented 3D objects depicting neuronal structures of the fruit fly. The system is developed to support researchers of the Dickson Group at the Institute of Molecular Pathology (IMP) in Vienna to understand how information processing in neural circuits guides animal behaviour.
Katja Bühler,
Florian Schulze
VRVis Image 4 Interactive Visualization of Large and Complex Data in Engineering Applications:
Modern engineering applications produce huge amounts of complex data. The complexity originates from the ever increasing accuracy used in modeling and simulation, or from large simulation ensembles containing tens of thousands of variations of the same simulation model. Our group develops novel techniques to support domain experts - engineers form the automotive domain - to cope with the increased complexity of engineering data.
Rainer Splechtna e-mail


Institute of Computer Graphics and Algorithms, Vienna University of Technology


ICG Image 1 Live Fetoscopic Rendering of 4D Ultrasound Data:
Live fetoscopic rendering is a method for generating of realistic images of the human fetus from ultrasound data to help improve clinical confidence. We employ an advanced illumination model which supports shadows, movable light sources, and realistic rendering of the human skin to provide an immersive experience for physicians and parents alike.
Andrej Varchola,
Alexey Karimov
ICG Image 2 Visualization and Analysis of Industrial 3DCT Data:
Industrial 3D X-ray Computed Tomography (3DXCT) is a powerful technique showing many advantages when used for nondestructive testing and quality control. We employ visual analysis, parameter space exploration and visual previews to address such major 3DXCT issues as optimal specimen placement in the scanner and metal artifacts reduction.
Artem Amirkhanov e-mail
ICG Image 3 Angiography Visualization:
AngioVis is a program aimed on clinical processing and visualization of peripheral CTA data sets. The key aspects are the assessment and identification of bones and the visualization of diagnostic relevant vessels.
Gabriel Mistelbauer e-mail


Centre for Visual Analytics Science and Technology, Vienna University of Technology


CVAST Image 1 Visual Analytics of Large Tabular Data:
Tabular data often record how thousands of items are related or classified into a small number (tens) of classes / categories. Contingency Wheel++ uses familiar visual representations to enable discovering several types of associations in the data.
Bilal Alsallakh e-mail
CVAST Image 2 CareCruiser – Interactive Exploration of Effects of Therapeutic Actions on a Patient’s Condition:
CareCruiser visualizes the effects of applying clinical actions on a patient and to support the exploration of the effects that these actions have on the patient’s condition. It provides several features to support a step-wise interactive exploration of these effects and the detection of patterns.
Theresia Gschwandter e-mail
CVAST Image 3 Interactive Visual Analysis of Dynamic Networks:
This demo will show a prototype that integrates visual, interactive and computational techniques for the analysis of dynamic social networks. Coordinated views, specific interactions as well as an integrated Social Network Analysis computational kernel support the investigation of network  changes and the comparison of structural properties over time.
Paolo Federico e-mail
CVAST Image 4 HypoVis - Modeling Hypotheses with Visual Analytics Methods to Analyze the Past and Forecast the Future:
The structure of time strongly influences aspects of the time-oriented data, but also human domain knowledge and hypotheses. With the concepts of first, temporal objects, and second, granularities, we are developing a framework that is supposed to support all elements of the Visual Analytics process. One possibility to gain overview in such data is the GROOVE visualization.
Tim Lammarsch e-mail
CVAST Image 5 TimeRider – Exploring Bivariate Data across Time with Static and Dynamic Scatter Plots:
Scatter plots are probably the most popular method to explore the mutual behavior of two variables, but exploring and analyzing the developments of these variables is cumbersome. TimeRider demonstrates and compares three different visual mappings for time (animated scatter plot, small multiples with states, and small multiples with traces).
Alexander Rind e-mail