Lecture: Scientific Visualization (Modul ISV)

[LSF] [Moodle]

Important

2020-05-26: Tomorrow's (2020-05-27) lecture has been shifted from 11:15–12:45 to 12:45–14:15.
2020-04-20: The virtual lectures will be held using Webex, please see Moodle for details.
2020-04-17: Please notice that the start of Tuesday's lecture has been shifted from 14:15 to 13:30!
2020-04-16: Please register within Moodle. Lecture starts April 21, 14:15 13:30, presumably using heiCONF (details will be provided via Moodle).

Lecturer

Prof. Dr. Filip Sadlo

Assistants

M.Sc. Lutz Hofmannlutz.hofmann@iwr.uni-heidelberg.de
Abhit Patilabhit.patil@stud.uni-heidelberg.de

Contact

sekretariat.sadlo@iwr.uni-heidelberg.de, lutz.hofmann@iwr.uni-heidelberg.de, sadlo@uni-heidelberg.de

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

Tuesday13:30–15:00   Webex (see Moodle), later possibly INF 205, SR A   
Wednesday11:15–12:45   Webex (see Moodle), later possibly INF 205, SR A   

Exercises

Wednesday14:15–15:45   presumably Webex (see Moodle), later possibly INF 205, SR 11   

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.