Visualization of Multivariate Point-based Volume Data
Smoothed Particles Hydrodynamics Simulations are Lagrangian, meshfree schemes that have gained increasing popularity for modeling physical phenomena. Its main strength is it high adaptivity, which imposes a challenge to visualization, as it impedes interpolation over a structured
grid.

We present visualization methods that operate directly on the
unstructured, point-based volume data. Our approach addresses individual magnitudes as well as the entire multivariate data field. For single scalar
magnitudes, we present an approach to direct extraction of isosurfaces in point cloud surface representation, a level-set approach to obtain smooth segmenting surfaces, and point-based rendering of the extracted surfaces.

For the entire multivariate data field, we present a multidimensional
feature space clustering, interactive cluster exploration, and linked views to the imposed object-space segmentation using enclosing surfaces and direct volume rendering.
Lecturer:
Prof.Dr. Lars Linsen
Dates:
Friday 19.11.2010, 13:00 c.t.
G29-R335
Additional Information:
> Lecture website <
Recent news:
12.06.2017

Research Seminar Announcement

In the course of the Visual Computing research seminar Prof. Dr. Nils Thuerey from the Technical University of Munich will give a talk with subsequent discussion about the topic Fluid Simulations and Neural Networks.

We would like to invite everyone interested to join us. The research seminar will take place in on Friday 30.06.2017, 13:15 in G29-R335.

To the overview…