376.055 Robot Vision: Selected Topics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2017S, VU, 4.0h, 6.0EC


  • Semester hours: 4.0
  • Credits: 6.0
  • Type: VU Lecture and Exercise

Aim of course

If necessary, also possible in Winter Semester. Contact Markus Vincze.

The module leads to deeper knowledge of current areas of machine vision and especially of robot vision through implementation of a project. Students will have a critical understanding of key theories, principles, concepts and algorithms of the use of image processing in robotics and automation. This module allows students to focus onto specific areas of robot vision, learn about the state of the art and to discuss and perform first independent work.

Subject of course

Select a topic from a given list or propose a topic in agreement with the lecturer. Directly work with the assigned assistant to understand all aspects of the topic and work on an implementation of a solution. Work will be based on an example publication.


Additional information

Always combined with 376.056



Course dates

Thu14:00 - 15:0002.03.2017 Computerlabor CA 0426, Gusshausstr. 27, 4th floorIntroduction, hand out of topics
Wed14:00 - 15:3026.04.2017 ACIN Computerlab (CA 0426)Lecture: Introduction to Scientific Writing
Thu13:00 - 14:0011.05.2017 Festsaal, Palais Eschenbach, Eschenbachgasse 11, 1010 WienTalk Prof. Dr. Daniel Cremers
Tue11:00 - 12:0023.05.2017 EI 4Talk Prof. John Folkesson
Wed14:00 - 15:0014.06.2017 EI3ATalk Prof. Emanuele Menegatti
Thu14:00 - 15:3022.06.2017Seminarraum 384 Final Presentation
Thu14:00 - 16:0029.06.2017 Computerlab CA 0426, Gusshausstr. 27, 4th floorFinal Presentations

Examination modalities

Presentation of work in a 7-minute talk and presenting the work in a short article/publication (2 pages). LaTeX template can be found in the download section.


Course registration

Begin End Deregistration end
02.03.2017 00:00 31.03.2017 23:55

Registration modalities

Please sign on in TISS. This is mandartory.



No lecture notes are available.

Previous knowledge


Preceding courses

Accompanying courses


  • Attendance Required!