14724 - Virtual Vision Modulübersicht

Module Number: 14724
Module Title:Virtual Vision
  Virtual Vision
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Dr.-Ing. habil. Herglotz, Christian Josef
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: Every winter semester
Credits: 6
Learning Outcome:After successful completion of the module, students can
  • Give an overview on basic properties of the human visual system
  • Know and explain all hardware and software components necessary to perform video capturing, processing, and display. 
  • Describe differences and properties of video formats such as fisheye, 360°, high dynamic range, point clouds
  • Distinguish video formats and discuss advantages and disadvantages
  • Show real-time demonstrations of these video formats with common portable devices
  • Assess the quality and the compression performance of video formats
  • Process and analyze visual data with Python using algorithms based on classic signal processing and neural networks.
  • compress and denoise image and video data.
Contents:This lecture deals with properties and limits of human vision and technological solutions to obtain a realistic, virtual environment in concepts such as virtual reality (VR) and extended reality (XR Aspects on recording, processing, compression, and displaying of visual data are handled in detail. The lecture covers all dimensions of visual aspects including brightness and color, spatial and temporal resolution, 3D vision, and 3D representation of environments. In the lab course, students learn how to use Python to process image and video data including aspects such as data conversion, different filter for denoising images, image quality enhancement, visual data compression, and neural networks for image processing.
Recommended Prerequisites:Knowledge of the topics in module
  • 11213 Mathematik IT-3 (Analysis)
  • 11908 Systemtheorie I
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Practical training / 2 Hours per Week per Semester
  • Self organised studies / 120 Hours
Teaching Materials and Literature:
  • E.-B. Goldstein: Sensation and Perception. Wadsworth, Pacific Grove, USA.
  • R. Dörner, W. Broll, P. Grimm, B. Jung: Virtual und Augmented Reality. Springer Vieweg, Berlin, Deutschland. 
  • C. Poynton: Digital Video and HDTV. Morgan Kaufmann Publishers, San Francisco, USA. 
  • W. R. Sherman, A. B. Craig, „Understanding Virtual Reality – Interface, Application, and Design“, Morgan Kaufman Publishers, San Francisco, USA.
Module Examination:Prerequisite + Final Module Examination (MAP)
Assessment Mode for Module Examination: Prerequisite:
  • Successful completion of practical tasks (60h)

Final module examination:

  • oral examination, 30-45 min.
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:20
Part of the Study Programme:
  • no assignment
Remarks:
  • Study programme Künstliche Intelligenz B.Sc.: Compulsory elective module in complex „Wissensakquise, -repräsentation und -verarbeitung“
Module Components:
  • Lecture Virtual Vision
  • Accompanying laboratory
  • Related examination
Components to be offered in the Current Semester:
  • no assignment