14186 - Image Processing and Computer Vision Modulübersicht

Module Number: 14186
Module Title:Image Processing and Computer Vision
  Bildverarbeitung und Computer Vision
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr. rer. nat. habil. Breuß, Michael
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: On special announcement
Credits: 6
Learning Outcome:After successfully completing the module, students are acquainted with basic and advanced techniques and mathematical models for processing digital image data and dealing with various computer vision tasks.
Contents:In the lectures theory and methods are presented. The material is illustrated in the tutorial at hand of typical problems in the field. In a study project the students deepen their knowledge about given techniques.

Main topics are:
  • Mathematical description of images and basic as well as advanced image filtering operations 
  • Algorithms and theory for selected image transformations, e.g. Fourier transform and morphological filters 
  • Introduction into a selection of important computer vision tasks and methods, e.g. in optical flow, object detection, object tracking, segmentation
Recommended Prerequisites:Knowledge of the content of modules
  • 11113 Mathematik IT-2 (Lineare Algebra)
  • 11213 Mathematik IT-3 (Analysis)
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Exercise / 2 Hours per Week per Semester
  • Study project / 60 Hours
  • Self organised studies / 60 Hours
Teaching Materials and Literature:None
Module Examination:Prerequisite + Final Module Examination (MAP)
Assessment Mode for Module Examination:Prerequisite:
  • Successful completion of study project tasks
Final module examination:
  • Written examination, 90 min.
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:None
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022 - 1. SÄ 2024
  • Master (research-oriented) / Mathematical Data Science / PO 2025
Remarks:
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex  „Knowledge Acquisition, Representation, and Processing“
  • Study programme Mathematical Data Science  M.Sc.: Compulsory elective module in complex „Fundamentals of Data Science“
Module Components:None
Components to be offered in the Current Semester: