Visualization
links
- weitere Informationen
- Kapitel 1: Visualisierungsprozess und -pipeline
- Kapitel 2: Datenquellen und Repräsentation
- Kapitel 3: Interpolation und Filterung
- Kapitel 4: Skalardaten und Volumenvisualisierung
- Kapitel 4: Skalardaten und Volumenvisualisierung (Teil 2)
- Kapitel 4: Skalardaten und Volumenvisualisierung (Teil 3)
- Kapitel 4: Skalardaten und Volumenvisualisierung (Teil 4)
- Kapitel 5: Vektorfeldvisualisierung
- Kapitel 6: Tensorfeldvisualisierung
- Kapitel 7: Mapping und visuelle Wahrnehmung
- Kapitel 8: Informationsvisualisierung
Content of the Lecture
Visualization aims to find visual representations of data from scientific experiments, simulations, medical scanners, databases, etc. with the goal to gain insight or to obtain simpler representations of complex processes. To achieve this goal, methods from interactive computer graphics are employed or novel techniques are developed. This lecture presents the so-called visualization pipeline, customized algorithms and data structures as well as practical applications.
Topics:
- Introduction, visualization pipeline
- Acquisition and representation of data
- Perception and mapping to graphical representations
- Visualization of scalar fields (isosurface extraction, volume rendering)
- Visualization of vector fields (particle tracing, texture-based methods)
- Tensor fields and multivariate data
- Information visualization