Research Projects


Procedural Keyframe Animation for 3D Mesoscale Models
Eduard Gröller -
Smile Analytics: Visual Analytics for Realistic and Aesthetic Smile Design
Gabriel Mistelbauer -
The aim of the project is to improve the digital fabrication of dental prosthetic devices. We employ state of the art visualization techniques to enable a dental pretreatment preview for the patients.
BioNetIllustration: User Centric Illustrations of Biological Networks
Hsiang-Yun Wu -

In living systems, one molecule is commonly involved in several distinct physiological functions. The roles of molecules are commonly summarized in pathway diagrams, which, however, are abstract, hierarchically nested and thus is difficult to comprehend especially by non-expert audience. The primary goal of this research in visualization is to intuitively support the comprehensive understanding of relationships among biological networks using interactively computed illustrations.

ILLUSTRARE: Integrative Visual Abstraction of Molecular Data
Ivan Viola -
FWF - I 2953-N31 Integrative Visual Abstraction of Molecular Data
Animated Cell Tab development
Ivan Viola -
Animated Cell Tab development
Smile Designer 3D
Eduard Gröller -
ManyViews: Integrating Narrations, Observations, and Insights
Eduard Gröller -
Visual Information Foraging on the Desktop
Manuela Waldner -
The goal of this project is to design and develop novel interactive visualization techniques to support knowledge workers in making sense of their unstructured, dynamic information collections.
Illustrative Visualization of Processes
Werner Purgathofer -
Visual Computing: Illustrative Visualization
Ivan Viola -

The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined.

Scenario Pool: Visual Analytics for Action Planning in the Presence of Uncertainty
Jürgen Waser -

Natural hazards such as floods are likely to occur more often in the near future. Modern information technology can simplify the workflow of disaster management. However, none of the existing tools is tailored to the requirements of action planning. The major challenge lies in the sheer quantity of complex information the planner has to account for. The choice of the right action at the right time depends on a variety of factors and cannot be automated. Moreover, since the course of events cannot be exactly predicted, numerous, alternative scenarios have to be considered.

VISAR - VISual Analytics And Rendering
Eduard Gröller -
KASI: Knowledge Assited Sparse Interaction for Peripheral CT
Eduard Gröller -
The knowledge assisted sparse interaction proposed above is a general paradigm, applicable to any area of visualization. However, within the framework of the current proposal we want to specialize predominantly on one of these possibilities, namely on the processing and diagnostics of the peripheral artery occlusive disease (PAOD) within the context of noninvasive CT angiography [1]. PAOD is a significant health problem in the industrialized world, with a prevalence of 8-12 million cases in the US alone [32]. The number of such cases is expected to increase as the population ages.
Semantic Steering
Eduard Gröller -
Mission: "To support time-critical decision making using visual simulation control"
ViMaL: A Visualization Mapping Language
Eduard Gröller -
Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. Expressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers).
Advanced Volume Rendering
Eduard Gröller -
Advanced Volume Rendering
AutARG: Automatic Algorithms for Result Generation in Visualization
Eduard Gröller -
The main goal of the proposed Dissertation Fellowship project AutARG (Automatic Algorithms for Result Generation in Visualization) is to speed up the analysis process of 3D/4D simulation data from different domains like engineering, meteorology, climatology, or medical applications. Since the number and size of simulations in these fields is increasing rapidly fewer and fewer time can be spent in the actual analysis process of the generated data.
Smart-CT: Genaue Geometriebestimmung und Interfacecharakterisierung von Multi-Materialbauteilen mittels Kegelstrahl-CT
Eduard Gröller -
Die Vermessung der 3D-Geometrie und von inneren Grenzflächen (z.B. Materialübergänge, Porennester, Inhomogenitäten,¿) von industriellen Objekten wie z.B. Multimaterial und Verbund-werkstoffkomponenten ist integraler Bestandteil moderner Bauteilentwicklung und Qualitätssicherung. Üblicherweise wird die Geometrie taktil mittels Koordinatenmessgeräten an vordefinierten Punkten gemessen. In speziellen Fällen wird die taktile Messtechnik mittels optischer Scanner unterstützt. Allerdings können beide Messverfahren nicht innere Geometrien oder Materialübergänge erfassen.
Scale-VS: Research on the Scalability and Confluence of Scientific Visualization and Interactive Segmentation
Markus Hadwiger -

Research on the Scalability and Confluence of Scientific Visualization and Interactive Segmentation (together with Markus Hadwiger, VRVis (main applicant))

NeuroViewer: interactive visualization and exploration framework for neural networks of fruit fly brains
Eduard Gröller -
Goal of this project is to provide to the Research Institute of Molecular Pathology (IMP) an interactive visualization and exploration framework for neural networks of fruit fly brains, in the following called "NeuroViewer".
2. year

Eduard Gröller -
Das DiagVis-Projekt bezieht sich auf wissenschaftliche Forschung und Entwicklung von innovativen Computergraphikmethoden zur Erleichterung und Verbesserung medizinischer Diagnostik.
Sim-CT: Simulation of an industrial 3D computer tomograph
Eduard Gröller -
Die Röntgen-Computertomografie (CT) ist eine sehr gut etablierte Methode in der Medizin, die in den letzten Jahren immer mehr in der Materialforschung und Industrie zum Einsatz kommt. CT ist eine zerstörungsfreie Methode, um Bauteile 3-dimensional zu vermessen und um versteckte Fehler (Risse, Verunreinigungen, Poren,.) in der Tiefe eines Werkstoffes zu detektieren. Bei einem modernen 3D-CT System mit einem a-Si- Matrixdetektor (amorphes Silizium) wird die Qualität der Ergebnisse erheblich von den Messparametern (Röhrenstrom- und Energie, Filter, Position des Messobjektes,.) bestimmt.
PVG: Point-based Volume Graphics
Eduard Gröller -

To implement and develop novel methods for reconstruction and visualisation of 3D Data in different grid structures

DiagVis: Diagnostic Visualization for Medical Applications
Eduard Gröller -
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.
ExVisation: Expressive Visualization of Volumetric Data
Ivan Viola -

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

COMRADE: Colonoscopic and Orthopaedic Magnetic Resonance Analysis, Diagnosis and Evaluation
Matej Mlejnek -
The COMRADE (MRI based Visualization and Analysis for Virtual Colonoscopy and Ortopaedics) project aims to explore the possibilities of MRI visualization techniques, e.g., for virtual colonoscopy and orthopaedics, due to similarity in their interests, and to develop a patient-friendly, effective screening tool.
AngioVis: Visualization Tools for Peripheral CT-Angiography
Eduard Gröller -
post-processing and visualization of large CTA datasets of the peripheral extremities
ADAPT: Advanced Diagnosis, Analysis and Planning Tools (in Medicine)
Armin Kanitsar -

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.