[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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