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.
Tino Weinkauf, KTH Stockholm
Fr. 13.11.2015, 13:00 c.t. , G29-R335
Recent news:

Research Seminar Announcement

In the course of the Visual Computing research seminar Dr. Evgeny Gladilin from the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben will give a talk with subsequent discussion about the topic Aufgaben der Bildanalyse in quantitativer Pflanzenforschung.

We would like to invite everyone interested to join us. The research seminar will take place in on Friday 21.04.2017, 13:00 c.t. in G29-R335.

To the overview…