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Colloquy Cycle SS 2006
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| Current Schedule
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In the sumer term of 2006 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)
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| Date | Speaker | Title | Time | Location |
| 3.3.2006 |
Miguel Feixas
(Universitat de Girona, Spain) |
An Information-Theoretic Framework for Viewpoint Selection
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10:30 | Seminarroom 186/2, Favoritenstraße 9,
5. Stock |
| 3.3.2006 |
Anders Strand Vestbø
(Nordic Neuro Lab, Norway) |
Diffusion tensor MRI visualization
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14:00 | Seminarroom 186/2, Favoritenstraße 9,
5. Stock |
| 28.3.2006 |
Erald Vucini
(Istanbul Technical University, Turkey) |
Robust face recognition using illumination invariant techniques
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10:00 | Meetingroom 186/2, Favoritenstraße 9,
5. Stock |
| 28.3.2006 |
Florian Schulze
(VRVis, Austria) |
Direct volume deformation
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10:30 | Meetingroom 186/2, Favoritenstraße 9,
5. Stock |
| 28.3.2006 |
Raphael Bürger
(Philipps-Universität Marburg, Germany) |
A novel volume clipping technique
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11:00 | Meetingroom 186/2, Favoritenstraße 9,
5. Stock |
3.4.2006
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Prof. Bamler
(TU München, Germany) |
Radar-Interferometrie zur Vermessung der Erde aus dem Weltall
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11:00 | Seminarroom 188/2, Favoritenstraße 9,
4. Stock
grüner Bereich |
| 7.4.2006 |
Marie-Paule Cani
(GRAVIR lab, INRIA & INP Grenoble, France) |
Clothes & Hair: new advances towards the modeling of realistic virtual humans
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10:30 | Seminarroom 186, Favoritenstraße 9,
5. Stock |
| 12.5.2006 |
Timo Ropinski
(Westfälische Wilhelms-Universität, Germany) |
Perception-based Visualization of Volumetric Datasets
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10:30 | Seminarroom 186, Favoritenstraße 9,
5. Stock |
| 9.6.2006 |
Leif Kobbelt
(RWTH-Aachen, Germany) |
Augmentation of 3D models
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10:30 | Seminarroom 186/2, Favoritenstraße 9,
5. Stock |
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An Information-Theoretic Framework for Viewpoint Selection
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Miguel Feixas, Universitat de Girona
Viewpoint selection is an emerging area in computer graphics with
applications in fields such as scene understanding, volume
visualization, image-based modeling, and molecular visualization. We present
an integrated framework for viewpoint selection and mesh saliency based on the
definition of an information channel between a set of viewpoints and the
polygons of an object. The mutual information of this channel is a powerful
tool to deal with viewpoint selection and to represent the visibility of
a mesh. In addition, the Jensen-Shannon divergence, closely related
to mutual information, gives us a measure of viewpoint similarity
and permits us to obtain the saliency of an object.
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Diffusion tensor MRI visualization
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Anders Strand Vestbø, Nordic Neuro Lab, Norway
Diffusion Tensor Imaging in MRI enables a non-invasive study of the three-dimensional architecture of axonal tracts in the
central nervous system of the human brain. Efficient analysis and intuitive visualization of such structures becomes increasingly
important as the technique is advancing from an experimental tool to a frequently used method for clinical evaluation.
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Radar-Interferometrie zur Vermessung der Erde aus dem Weltall
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Prof. Bamler, TU München
Synthetisches Apertur Radar (SAR) ist ein aktives Mikrowellenabbildungsverfahren, das unabhängig von Bewölkung und
Tageslicht von einem Satelliten aus Bilder der Erdoberfläche liefert. Seit mehr als einem Jahrzehnt werden mit
Satelliten routinemäßig SAR-Bilder für die Erdbeobachtung erhoben. Ein Bildpunkt in einem SAR-Bild zeichnet sich nicht
nur durch seine Helligkeit aus, sondern enthält wegen der kohärenten Natur des Abbildungsprozesses auch die Information
über die Phasenlage der empfangenen Radarwelle. Die Kombination mehrerer SAR-Bilder und der bildpunktweise Vergleich der
jeweiligen Phasen liefert sog. SAR-Interferogramme. Aus diesen können je nach Aufnahmekonstellation digitale Höhenmodelle
berechnet werden. Ebenso können aus SAR-Interferogrammen Bewegungen der Erdoberfläche (Vulkanismus, Erdbeben, Senkungen)
oder von Gletschern zwischen zwei Aufnahmezeitpunkten mit bis zu Millimeter-Genauigkeit abgeleitet werden.
Der Vortrag führt in die Technik der SAR-Interferometrie ein, gibt einen Überblick über das heutige Anwendungsspektrum und
zeigt die Potenziale zukünftiger SAR-Satelliten, wie des deutschen TerraSAR-X, auf.
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Clothes & Hair: new advances towards the modeling of realistic virtual humans
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Marie-Paule Cani, GRAVIR lab, INRIA & INP Grenoble, France
Modeling convincing clothes and hair are essential for achieving realistic virtual humans. They are however among the most
difficult features to achieve: Modeling garments is currently very tedious using standard software (the user has to specify 2D
patterns, to position and assemble them in 3D around the character body, and then run a costly physically based simulation, even
if only a rest shape is needed). Hair styling either uses purely geometric approaches which may lead to unrealistic results or
costly simulations. This talk presents some recent advances on both problems.
We first introduce a system that models realistic worn garments (i.e. locally developable surfaces, with the adequate folds and
wrinkles caused by wrapping around the human body) from a single contour sketched by the user above a mannequin model. We validate
the results by comparing the generated virtual garement with real replica sewn from the 2D patterns we output.
The second part of the talk covers hair modeling: we introduce a new Lagangian, reduced coordinates model called "Super-Helices",
which is used to accurately discretize Cosserat's continuous model for elastic rods. We show that a static implementation of this
model enables to achieve very realistic hair styles for arbitrary ethnical groups, and present the extension of the method to
dynamic hair simulation.
Short bio:
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Marie-Paule Cani is a Professor of Computer Science at the Institut National Polytechnique de Grenoble (INPG), France. She
graduated from the Ecole Normale Supérieure in Paris and was awarded membership of the Institut Universitaire de France in 1999.
She was paper co-chair of EUROGRPAHICS 2004, conference co-chair of IEEE Shape Modeling and Applications (SMI) 2005, and is paper
co-chair of the ACM-EG Symposium on Computer Animation (SCA) 2006.
Her main research interests cover physically-based simulation, implicit surfaces applied to interactive modelling and animation and
the design of layered models incorporating alternative representations and LODs. Recent applications include pattern-based texturing,
the animation of natural phenomena such as lava-flows, ocean, vegetation and human hair, real-time virtual surgery and interactive
modeling techniques based on sculpting and sketching systems.
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Perception-based Visualization of Volumetric Datasets
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Timo Ropinski, Westfälische Wilhelms-Universität
In this talk I will describe approaches towards user-oriented exploration of volumetric datasets. A visualization technique
is presented, which allows to emphasize certain regions of interest by applying different visual appearances interactively.
In order to give better insights into this regions occluding parts can be removed or visualized differently such that a better
focussing is allowed. Since when applying these strategies the overall structure of the dataset is modified, spatial comprehension
may become more difficult. To diminish this effect a visualization technique to support depth perception is proposed.
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Augmentation of 3D models
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Leif Kobbelt, RWTH-Aachen
Today the generation of raw 3D models has become quite easy.
Typical sources for geometric data are: 3D scanning, CAD
system output, reconstructions from images and video and
so on. However, while these models usually have a sufficient
quality at the first glance, the removal of inconsistencies
and other optimizations are still necessary to make these
raw models any useful for downstream applications beyond
mere display. Besides this basic mesh repair, one would also
like to convert unstructured polygonal models into meshes
where individual faces are of high quality in terms of aspect
ratio and the degrees of freedom (i.e. vertices) are aligned
to major geometric features. These are the global and the
local aspects of remeshing techniques respectively. In my talk
I will present a number of mesh repair and mesh optimization
techniques which are numerically robust and sufficiently
efficient to process large dataset of realistic input quality.
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