Teaching

Summer Term 2017

Notice: this page contains information about future teaching activities and may change without notice.

Lecture: Grundlegende Programmiertechniken (German)

V2+U2
Lecture Time & Place: tba
Instructor: Prof. Dr. J. Krüger
Exercise Time & Place: tba
Exercise Supervisor: Contact at gpt@uni-due.de (A. Waschk)
Course Language: German
Audience: Bachelor

Zusammenfassung: Anhand der Programmiersprache Java werden grundlegende Programmiertechniken in einer objektorientierten, modernen Sprache besprochen. Inhalte im Einzelnen: - Einführung und grundlegende Struktur von Programmen - Lexikalische Elemente, Datentypen und Variablen, Ausdrüke und Anweisungen - Objektorientierte Programmierung: Klassen, Methoden, Vererbung, Interfaces, Abstrakte Klassen - Standard und Utilityklassen - Generische Datentypen & Anwendung von Standardtypen - Ausnahmebehandlung - Ein- und Ausgabe mittels Streams - Graphische Oberflächen (Einführung) - Einfürung in die Ereignisbehandlung - Anwendung der JSDK Utility Programme (Javadoc etc.).

Lecture: Scientific Visualization

V2+U2
Lecture Time & Place: tba
Instructor: Prof. Dr. J. Krüger
Exercise Time & Place: tba
Exercise Supervisor: K.-M. Schorer
Course Language: English
Audience: Master

Abstract: The focus of this introductory course is on discussing efficient techniques to visually represent large-scale data sets from simulation and measurement. Starting with a brief introduction on the data generation processes the visualization pipeline, data structures, mapping techniques and special rendering techniques for scientific data will be discussed. Various examples will be given to outline the benefits of visualization techniques in practical applications. A particular focus is put on interactive methods using GPU-based techniques. Topics include:

  • History of Visualization Methods, from ancient wall paintings to GPU accelerated rendering
  • Data Sources
    • Simulation: basics of finite element discretization to GPU-based methods
    • Measurements: physical details of computed tomography to accelerated reconstruction
  • Data Representation: interpolation techniques, from data to meshes
  • Filtering: various filtering methods and their hardware acceleration
  • Scalar Volumes
    • the basics of direct volume rendering
    • GPU accelerated volume rendering I: slicing and ray-casting
    • GPU accelerated volume rendering II: ray guided volume rendering and out-of-core techniques
    • indirect volume rendering
    • unstructured data
  • Flow Visualization
    • glyph based methods
    • geometric methods
    • GPU-based particle tracing
    • texture-based methods I: LIC
    • texture-based methods II: Explicit Frequency Control
    • feature based methods
  • Virtual Reality

Lecture: Advanced Image Synthesis

V3+U1
Lecture Time & Place: tba
Instructor: Prof. Dr. J. Krüger
Exercise Time & Place: tba
Exercise Supervisor: A. Schiewe
Course Language: English
Audience: Master

Abstract: This lecture deals with the fundamentals of photorealistic and interactive image synthesis. In particular, we discuss techniques to achieve interactive frame rates for the realistic rendering of complex models and scenes using GPU accelerated techniques. Selected graphics algorithms and their efficient implementation exploiting state-of-the-art graphics hardware through graphics APIs will be demonstrated. We focus on dedicated parts of the graphics pipeline and we review the functionality provided by consumer class graphics accelerators including programmable vertex-, geometry- and fragment shaders. In addition, we discuss the governing equations in physics based light transport and we demonstrate effective solution methods for the simulation of global illumination. Topics include:

  • Interactive image synthesis
    • Graphics APIs & hardware, OpenGL, DirectX, Vulkan and CUDA
    • Fixed function & programmable graphics pipeline
    • Introduction to General-purpose computation on graphics hardware (GPGPU)
    • Lighting
      • Local lighting models
      • GPU implementation
    • Environment Mapping
    • GPU Shadowing techniques
      • Projective Shadows
      • Shadow Volumes
      • Shadow Maps
    • Transparent Objects:
      • (depth) sorting with implementations on graphics hardware
      • Order independent transparency & depth peeling on GPUs
  • Physics based rendering
    • Radiometric quantities, rendering equation
    • Raytracing / path tracing
    • Radiosity
    • Irradiance volumes
    • Precomputed radiance transfer (PRT)
    • Ambient Occlusion with focus on GPU-based interactive methods
  • Special topics:
    • GPU friendly High quality terrain rendering & synthesis
    • Rendering of fur and hair
    • Scenegraph APIs
    • Acceleration structures and culling techniques
    • Human visual perception and high dynamic range imaging (HDRI)
    • REYES
    • Image compression techniques

Lab Course (Praxisprojekt): GPT-Youtube

Kick-off & Registration Meeting: Tue. April 18th, 12:00-13:00 c.t., LE 335
Time & Place: Tue. 12:00-13:00 c.t., LE 335
Instructor: Prof. Dr. J. Krüger Course Language: German
Audience: Bachelor

Ziel dieses Projektes ist es seine Reihe von YouTube-Videos zu den Inhalten der Vorlesung Grundlegende Programmiertechniken (GPT) zu erstellen. Hierbei gilt es nicht nur Videoaufnahmen zu machen und diese digital Nachzubearbeiten, sondern zunächst ein Lehrkonzept für dieses Medium zu entwerfen, sowie geeignete Demosoftware zu erstellen. Angedacht ist es, mehrere konkurrierende Gruppen mit verschiedenen Konzepten zu bilden und die Ergebnisse gegenüberzustellen.

Lab Course (Praxisprojekt): Computational Camera

Kick-off & Registration Meeting: Tue. April 18th, 16:00-17:00 c.t., LE 335
Time & Place: Tue. 16:00-17:00 c.t., LE 335
Instructor: Prof. Dr. J. Krüger Course Language: German
Audience: Bachelor

Wikipedia definiert die Computational Camera bzw. Computational photography folgendermaßen: „Computational photography or computational imaging refers to digital image capture and processing techniques that use digital computation instead of optical processes. Computational photography can improve the capabilities of a camera, or introduce features that were not possible at all with film based photography, or reduce the cost or size of camera elements“. Bei diesem Praxisprojekt handelt es sich um eine klassische Veranstaltung aus dem Bereich Computergrafik; wir wollen uns dabei mit verschiedenen Verfahren zur Generierung neuer Bilder und Videos aus Kameramaterial und computergestützten Berechnungen beschäftigen. Beispiele hierzu sind Zeitlupen- und Zeitraffer-Aufnahmen sowie HDR und multi-Fokus Bilder.

Seminar: How to Deliver an Engaging Speech - Eine Einführung in elementare Vorbereitungs- und Vortragstechniken

Instructors: Prof. Dr. J. Krüger & team
Kick-off & Registration Meeting: Thu. April 20th, 12:00-14:00 c.t., LF 125
Time & Place: Thu. 12:00-14:00 c.t., LF 125
Course Langugage: English or German
Audience: Bachelor & Master

Abstract: In addition to the scientific content in this seminar we will put special emphasis on the presentation. To improve the presentation skills of the participants we will start the seminar with simpe topics, record short talks from each participant, and analyze the presentation. Students then give a seminar talk on their chosen topic.

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