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183.587 Computer Vision Systems Programming
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, UE, 3.0h, 4.5EC


  • Semester hours: 3.0
  • Credits: 4.5
  • Type: UE Exercise
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to plan and implement software development projects in the field of computer vision. Key findings include data collection and assessment of data quality, implementation and evaluation of results.

Subject of course

Working with:

  • div. Hardware: RGB-D MS Kinect, Orbec, Wärmebildkamera, ...
  • Axis & Sony Netzwerkkameras
  • Matlab, python, C++, ...

Teaching methods

  • Literature search and implementation
  • Data acquisition and data analysis
  • Design and Planning of experiments
  • Evaluation and Testing

Mode of examination


Additional information

ECTS Breakdown: 4.5 ECTS = 112.5h
12.5h    Work defintion
90.0h    Programming
5.0h      Writing the document
5.0h      Preparation and presentation of the work



Examination modalities

Intermediate results and final results are presented and evaluated. Projekt planning, implementation, evaluation and presentation will be evaluated.

Course registration

Begin End Deregistration end
08.09.2022 00:00 19.10.2022 00:00 28.10.2022 01:00


Study CodeObligationSemesterPrecon.Info
066 932 Visual Computing Mandatory elective


No lecture notes are available.

Previous knowledge

This is not a general programming course; students are expected to be able to develop software on their own, and they should be familiar with a programming language suitable for computer vision development (e.g. Matlab, Python, C++). Basic image processing and computer vision knowledge is expected. Experience in computer vision development is recommended, but not required.

Accompanying courses



if required in English