Visualization deals with all aspects that are connected with
the visual representation of (huge) data sets from scientific
experiments or simulations in order to achieve a deeper
understanding or a simpler represenation of complex phenomena.
To obtain this goal,
both well-known techniques from the field of interactive
computer graphics and completely new methods are applied.
Based on the visualization pipeline and the classification
of mapping methodes, this course will present visualization
algorithms and data structures for various kinds of applications
and scenarios. Among the topics of this lecture are:
huge geometric models (such as terrain models, finite element
models from car industry), cartesian 3D scalar fields
(such as medical CT-data), unstructured 3D vector fields
(e.g., from computational fluid dynamics), and information
visualization (such as tables or graphs).
The
slides of the lecture are available as
PDF-files.
