Projects

Vision+ – Menschliches Wissen, maschinelle Effizienz

Entwicklung von Technologielösungen auf Basis von Bildanalyse unterstützt durch zusätzliche Information.

Semantic Visual Exploration of Spatial and Temporal Data (SemVis)

Semantic Visual Exploration of Spatial and Temporal Data (SemVis)

The purpose of this project is a significant contribution towards closing the semantic gap for Visual Analysis Applications. This will be achieved by research and development of novel semantic techniques for the visualization and exploration of complex, multi-dimensional and multi-layered spatial and temporal data. The result of this project will be a set of enabling technologies that allow professionals, like engineers, medical doctors and biologists, to intuitively explore highly complex data, to gain new insights for fast knowledge generation and effective decision making.

LocaPhoto

LocaPhoto

Localization of Virtual Sound Sources: Effects of Pointing Method, Visual Environment, and Training

Deep Pictures

Deep Pictures

Creating Visual and Haptic Vector Images.     The project has 2 main missions: a) To create expressive vector graphics in a time and cost efficient process. b) To enable blind and visually impaired people to experience visual arts.

IVAN

IVAN

IVAN is a strategic research project in the area Visual Analysis. As such, IVAN seeks to ensure and strategically extend the degree of innovation of the technology in the next few years. In particular, research in IVAN addresses four main topics: 1) an uncertainty-aware exploration of continuous parameter spaces using multivariate prediction, 2) a generalization of interactive data derivation, 3) a comparative visualization of many categories, and 4) a visual analysis of many relational data tables.

RT-Analysis 3D

RT-Analysis 3D

An Interactive Visual Subsurface Modelling Application

ComSys

ComSys

Modern engine design is closely coupled with simulation. In order to simulate physical processes in engines, especially in combustion cylinders and in the exhaust pipeline, complex volume meshes are needed. Although such meshes do not fit in the main memory of a single computer, users want to interactively modify and visualize them. The framework we developed together with AVL, our partner company, tackles this problem, and significantly contributes to an efficient workflow of domain experts.

GeCov

GeCov

The GeCov Project focuses on highest resolution laser scan point clouds and aerial pictures which are used as a basis for the virtual track routes and, if necessary, additional terrestrially recorded inventory data. The main project activities are research and development of innovative visualization techniques and methods to stream extremely large point clouds of Austrian rail tracks from a database in real-time.

VISAR

VISAR

VISAR - Visual Analysis and Rendering: Fundamental research towards the combination and integration of the spatial and abstract domain.

SemSeg

SemSeg

It is the objective of this project to research a new segmentation method for unsteady flows that has the elegance and specificity of (steady) VFT, but which provides correct results for unsteady flows as well.