Visualization – Lecture

The content of the lecture is divided into three main parts.

  • Part I: Basics – In this introductory part an overview of possible applications of computer-aided visualization is given by means of many examples. It should become clear which display possibilities exist and how they are combined. The examples are analyzed with regard to the techniques used and principles of computer-aided visualization are described. Subsequently, the basics of visual perception are treated.
  • Part II: Algorithms and Data Structures – Methods of data representation and basic visualization techniques are described. For the representation of data the spatial arrangement of the data (geometry) and the connection between these data (topology) is essential. For the visualization of the data, which are usually only available at discrete measuring points, it is important to “estimate” values at other coordinates. Therefore interpolation methods are discussed. Basic techniques include the mapping of (multiparameter) data to size, position, orientation, colors (color spaces and color scales) and isolines.
  • Part III: 3D Visualization – In this area mainly volume visualization techniques and methods for flow visualization are described. In the field of volume visualization methods, the focus is on the representation of regular 3D-grids, as they are created, for example, in medicine by the imaging methods computed tomography and magnetic resonance imaging.

Lecture slides

Our video lectures are available on YouTube. The list is updated regularily.

ContentSlidesAdditional Material
Part I Overview
Visualization: Goals, Quality Criteria, Principles
Visual Perception
Part II Data Types, Data Structures and Data Formats in Visualization
Basic Visualization Techniques
Information Visualization I
Information Visualization II
Information Visualization III: Visualization Systems and Visualization Design
Interaction in Visual Analysis
Part III Surface Visualization of Volume Data
Direct Volume Rendering
Analysis and Visualization of Uncertainty
Visualization of Vector Data
Überblickskapitel Volumenvisualisierung