Colloquy Cycle WS 2008/2009

Current Schedule
Previous Schedules

In the winter term of 2008/2009 the following talks will be organized by our Institute. The talks are partially financed by the "Arbeitskreis Graphische Datenverarbeitung" of the OCG (Austrian Computer Society)

• Colloquy Cycle SS08
• Colloquy Cycle WS07/08
• Colloquy Cycle SS07
• Colloquy Cycle WS06/07
• Colloquy Cycle SS06
• Colloquy Cycle WS05/06
• Colloquy Cycle SS05
• Colloquy Cycle WS04/05
• Colloquy Cycle SS04
• Colloquy Cycle WS03/04
• Colloquy Cycle SS03
• Colloquy Cycle WS02/03
• Colloquy Cycle SS02
• Colloquy Cycle WS01/02
• Colloquy Cycle SS01
• Colloquy Cycle WS00/01
• Colloquy Cycle SS00
• Colloquy Cycle WS99/00
• Colloquy Cycle SS99
• Colloquy Cycle WS98/99
• Colloquy Cycle SS98
• Colloquy Cycle WS97/98
• Colloquy Cycle SS97
• Colloquy Cycle WS96/97

Helwig Hauser, University of Bergen, Norway

Few scientific topics catch as much attention as climate research these days. Will temperatures rise significantly in the upcoming decades? Will snow and ice covers disappear? Will draugths and severe storms threaten lifes all around the globe? Many questions like these move people, politics, and also business. To give as good as possible answers, climate researchers employ most modern measurement, simulation, and analysis methodology, resulting in challenging compilations of data of heterogeneous form and origin, usually with multi- ple variates, and almost always time-dependent. Accordingly, visualization is challenged and advanced approaches are needed to enable effective exploration, analysis and presen- tation. In this talk recent research work on how to support hypothesis generation in climate research through interactive visual exploration is presented. A discussion of associated challenges explains why visualization of data from climate research clearly has the potential to initiate interesting future research in visualization.

Ronald Peikert, Institute of Computational Science, ETH Zentrum

Numerical flow visualization is gaining importance because of the continuing trend from experiments toward computational fluid dynamics. We have come to the situation where reliable numerical data are easily available but often hard to interpret because their size and intricacy challenge current visualization tools. The state of the art in flow visualization is advancing on several fronts, an important one being the field of feature-based visualization, which aims at revealing flow features such as vortices, flow separation, or recirculation. Such flow phenomena are of interest because of their effect, either beneficial or adverse, in industrial applications like power generation, mixing, or combustion. Feature-based flow visualization again splits into several branches, but one of them has become particularly popular under the name of vector field topology.

In this talk we present work in topology-based flow visualization, resulting from our collaboration with turbomachinery companies and focusing on the optimization of water turbines. We discuss the usage of vector field topology for extracting the above mentioned flow features, and additional ones such as vortex rings and vortex breakdown bubbles. We address the limitations of vector field topology and the current search for an adequate extension to unsteady flow fields. Finally we move to the field of Lagrangian coherent structures, which can be interpreted as a time-dependent variant of vector field topology. There, we present a technique for accelerating their computation, based on adaptive mesh refinement.

Jan Hovora, Bohemia Interactive

The talk will be about the physiology of plants and how to implement branching, tropisms, hormons and their control in simplifyfied simulations. Also, generation for real time models including metric, LODs, textures, streaming as well as rendering and lighting will be covered in the talk.

Stefan Zachow, Zuse-Institut-Berlin

t.b.a.

Elmar Eisemann, Max-Planck-Institut für Informatik, Saarbrücken

A rapidly growing computer graphics community has contributed to dramatic increase in complexity with respect to geometry as well as physical phenomena. Simulating, approximating and visualizing geometry consisting of tens of millions of polygons simultaneously tested for collision or visibility is becoming increasingly common. Further, recent technological innovations from graphics card vendors have given impetus to achieving these results at very high frame rates. Despite tremendous developments in graphics hardware, capturing the complete surrounding environment poses a significant challenge. Given the added time constraint for real-time or interactive rates, simplified representations and suitable approximationsof physical effects are of key importance.
This talk will focus on simplified representations and computations to achieve real-time performance for complex tasks and concentrates on a variety of topics including simplification, visibility, soft shadows and voxelization.