Lecture: Scientific Visualization (Modul ISV)

Important

Description

Visualization deals with all aspects that are connected with the visual representation of data sets from scientific experiments, simulations, medical scanners, databases and the like in order to achieve a deeper understanding or a simpler representation of complex phenomena. To obtain this goal, both well-known techniques from the field of interactive computer graphics and completely new methods are applied. The objective of the course is to provide advanced knowledge about visualization algorithms and data structures as well as acquaintance with practical applications of visualization. Based on the visualization pipeline and the classification of mapping methods, this course will present advanced visualization algorithms and data structures for various kinds of applications and scenarios.

Content

Introduction
Visualization Process
Data Sources and Representation
Interpolation and Filtering
Approaches for Visual Mapping
Scalar Field Visualization: Advanced Techniques for Contour Extraction, Classification, Texture-Based Volume Rendering, Volumetric Illumination, Advanced Techniques for Volume Visualization, Pre-Integration, Cell Projection, Feature Extraction
Vector Field Visualization: Vector Calculus, Particle Tracing on Grids, Vector Field Topology, Vortex Visualization, Feature Extraction, Feature Tracking
Tensor Field Visualization: Glyphs, Hue-Balls and Lit-Tensors, Line-Based Visualization, Tensor Field Topology, Feature Extraction

Schedule

Lecture

TBA	TBA		INF 205, TBA + YouTube (hybrid format)
TBA	TBA		INF 205, TBA + YouTube (hybrid format)

Exercises

TBA

INF 205, TBA

Suggested Prerequisites

Einführung in die Praktische Informatik
Programmierkurs
Algorithmen und Datenstrukturen
Computergraphik (1 & 2) / Computer Graphics
Geometric Modeling and Animation

Literature

C.D. Hansen, C.R. Johnson, The Visualization Handbook, 2005.