Images from our projects.

Show images of current Projects | Years: 2005 - 2006 - 2007.

X-Mas Cards

Every year a christmas card showing aspects of our research projects is produced and sent out.

VRVis Competence Center

The VRVis K1 Research Center is the leading application oriented research center in the area of virtual reality (VR) and visualization (Vis) in Austria and is internationally recognized. You can find extensive Information about the VRVis-Center here


DiagVis: Diagnostic Visualization for Medical Applications

The DiagVis (Diagnostic Visualization) project aims to facilitate and to improve medical diagnostics. The project focuses on radiological needs but also on related disciplines like surgical applications.

SCANOPY - Scan Data Organisation, Processing and Display

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.


ExVisation: Expressive Visualization of Volumetric Data

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.


TreeLumination

The aim of the project Treelumination is to enhance the realism and visual quality of applications that need to display trees and tree-like plants in a real-time setting.

GameTools

The GameTools Project (GTP) researches and implements next generation realtime 3D Libraries for Geometry/Plants, Visibility and Global Illumination under C++/DirectX9. Platforms: OGRE for PC and Shark3D middleware for PC & consoles.

Skydome

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


AngioVis: Visualization Tools for Peripheral CT-Angiography

post-processing and visualization of large CTA datasets of the peripheral extremities