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.

2019W, UE, 3.0h, 4.5EC

Properties

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

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

Immanent

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
-----
112.5h

Lecturers

Institute

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
01.10.2019 00:00 16.10.2019 00:00

Curricula

Study CodeSemesterPrecon.Info
066 932 Visual Computing

Literature

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

Miscellaneous

Language

German