Applications of Computer Vision (EX)

Course Details


Robert Sablatnig
Roxane Licandro




Exkursion (EX)



  • Date: Mon. 13:00 c.t.
  • Place: Sem 183/2

This excursion with lecture is an elective course in the Module Applications of Computer Vision and Pattern Recognition in the Visual Computing Master
The elective course “Applications of Computer Vision” is a 2h lecture/ excursion combination and is held in winter terms by Robert Sablatnig. EX means that the course consists of a lecture part (which is held in the beginning of the semester) and a guided excursion part, held in a 50 : 50 proportion. The lecture part consists of 6 lectures and an examination, the second part consists of one excursion and 4 group meetings with a final oral and written presentation of the results achieved within the group


What are the basic concepts of Computer Vision and how are they used in different Applications? The course tries to answer these questions by describing the creation of digital images using digital cameras and the subsequent steps in order to derive information kept in digital images automatically.

The starting point are digital images and their creation. Then a closer look is taken into classical image processing techniques like image enhancement and compression. The next step consists in the development of digital filters and segmentation techniques in order to be able to extract specific information. Using examples in applications the courses tries to show the basic concepts, basic problems and simple solutions and typical fields of applications of image processing. Previous knowledge in the area of image processing is not required, however a basic mathematical understanding is necessary.

The work in the exercise group consists of attending an excursion and the description of the problems and the solutions in this computer vision application. At the end of the semester the results of the work in the group should be presented orally and in a written report.

Aims of the Course:

The main goal is to give a basic understanding of the theory and practice of computer vision and its application to a number of case studies. Principle concepts like image acquisition, digital images, digital filters, local and global operators and segmentation techniques and their practical application should be learned.

Requirements to pass the course

The slides regarding the excursion for the winterterm 2017/18 will be provided soon on this website.

1 written report per group (max. 30 pages) submitted electronically (pdf) containing:

  1. List of Participants and Functions (who wrote what)
  2. Abstract (Lector)
  3. Problem Statement and Solution
  4. Presentation Slides

1 Presentation (max. 8 min per student)
One example of a previous semester:

Registration for the course

A registration for the course is necessary and can be made via the VUT teaching platform TISS.


The examination takes place on:

28.01.2018 13:00-14:30, Sem 183/2

Time and Place

The lectures are held on Mondays at 13:15 sharp at the Seminarroom 183/2, Favoritenstr. 9, staircase 1 or 3, 4th floor.
The course starts with a general preliminary discussion of the course and the first lecture on October 9th 2017 at 13:00 (see also Schedule).