Pattern Matching in Scalar and Vector Fields
I give an overview of our recent methods on pattern matching in scalar
and vector fields. Pattern matching allows the user to provide an
example feature or structure, and the system finds similar structures
within the data set. This applies to both space and time. We apply
different approaches from topology-based to vision-based. A discussion
at the end will allow us to weigh the advantages and disadvantages of
each method and can lead us to finding new approaches.
Lecturer:
Tino Weinkauf, KTH Stockholm
Dates:
Fr. 13.11.2015, 13:00 c.t. , G29-R335
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…