[Forschungsseminar-BSV] Forschungsseminar Computergrafik, Bildverarbeitung und Visualisierung

Patrick Oesterling oesterling at informatik.uni-leipzig.de
Mo Mai 21 10:51:37 CEST 2012


A C H T U N G: Das Forschungsseminar beginnt/endet dieses Mal 
ausnahmsweise eine Stunde eher.

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E I N L A D U N G

zum Forschungsseminar Computergrafik, Bildverarbeitung und 
Visualisierung am Mittwoch den 23. Mai 2012, 12:15 Uhr, Raum 1-22 in der 
Johannisgasse 26.


Wir hören -jeweils- einen Vortrag von:

Patrick Oesterling
Universität Leipzig

mit dem Titel

"Visualizing nD Point Clouds as Topological Landscape Profiles to Guide 
Local Data Analysis"


zum Inhalt:

Analyzing high-dimensional point clouds is a classical challenge in 
visual analytics. Traditional techniques, such as projections or 
axis-based techniques, suffer from projection artifacts, occlusion, and 
visual complexity. We propose to split data analysis into two parts to 
address these shortcomings. First, a structural overview phase abstracts 
data by its density distribution. This phase performs topological 
analysis to support accurate and non-overlapping presentation of the 
high-dimensional cluster structure as a topological landscape profile. 
Utilizing a landscape metaphor, it presents clusters and their nesting 
as hills whose height, width, and shape reflect cluster coherence, size, 
and stability, respectively. A second local analysis phase utilizes this 
global structural knowledge to select individual clusters or point sets 
for further, localized data analysis. Focusing on structural entities 
significantly reduces visual clutter in established geometric 
visualizations and permits a clearer, more thorough data analysis. This 
analysis complements the global topological perspective and enables the 
user to study subspaces or geometric properties, such as shape.


und:


Sebastian Eichelbaum
Universität Leipzig

mit dem Titel

"LineAO - Improved Three-Dimensional Line Rendering"


zum Inhalt:

Rendering large numbers of dense line bundles in three dimensions is a 
common need for many visualization techniques, including streamlines and 
fiber tractography. Unfortunately, depiction of spatial relations inside 
these line bundles is often difficult but critical for understanding the 
represented structures. Many approaches evolved for solving this problem 
by providing special illumination models or tube-like renderings. 
Although these methods improve spatial perception of individual lines or 
related sets of lines, they do not solve the problem for complex spatial 
relations between dense bundles of lines.  In this paper, we present a 
novel approach that improves spatial and structural perception of line 
renderings by providing a novel ambient occlusion approach suited for 
line rendering in real time.


Alle Interessierten sind im Namen von Prof. Dr. Scheuermann herzlich 
eingeladen.

Mit freundlichen Grüßen,
Patrick Oesterling


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