183.590 Applications of Computer Vision
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2018W, EX, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: EX Excursion

Aim of course

The main goal is to give a basic understanding of the theory and practice image processing 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.

Subject of course

What are the basic concepts of Image Processing 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 image processing application, or alternatively in solving a specific problem of image processing in a lab exercise. At the end of the semester the results of the work in the group should be presented orally and in a written report.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon13:00 - 15:0008.10.2018 - 21.01.2019Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Applications of Computer Vision - Single appointments
DayDateTimeLocationDescription
Mon08.10.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon15.10.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon22.10.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon29.10.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon05.11.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon12.11.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon19.11.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon26.11.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon03.12.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon10.12.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon17.12.201813:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon07.01.201913:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon14.01.201913:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures
Mon21.01.201913:00 - 15:00Seminarraum FAV 01 A (Seminarraum 183/2) Lectures

Examination modalities

ECTS Breakdown: 3 ECTS = 75h

9h    Lectures
5h    Excursion
6h    Excursion group meetings
1.5h Presentations of all groups
52h  Preparation for written exam
1.5h  Written exam
-----
75h

Course registration

Begin End Deregistration end
04.09.2018 00:00 05.11.2018 00:00 05.11.2018 00:00

Curricula

Study CodeSemesterPrecon.Info
066 932 Visual Computing

Literature

No lecture notes are available.

Miscellaneous

Language

English