Type: Master Seminar Module IN4970
SWS: 2+0
ECTS: 5 Credits
Room: 03.13.010.
Course Language: English
This seminar introduces common tools and principles in computer vision for applications in the field of augmented reality. The Seminar will propose a list of recent scientific articles related to the main current research topics in computer vision for augmented reality together with some interesting papers from other communities.
The students are required to attend each seminar presentation which will be held during this course. Each presentation is followed by a discussion and everyone is encouraged to actively participate. The report must include all references used and must be written completely in your own words. Copy and paste will not be tolerated. Both report and presentation have to be done in English.
Date | Time ![]() | Topic | Slides | Students |
---|---|---|---|---|
26.04.2019 | 15:00 - 17:00 | Introduction Session | ![]() ![]() ![]() | |
07.06.2019 | 15:00 - 17:00 | How to give a Presentation | ![]() | |
21.06.2019 | 15:00 - 17:00 | Presentation Session 1 | Lemberger, Budjakoski, Sommersperger | |
28.06.2019 | 15:00 - 17:00 | Presentation Session 2 | Kakaei, Hoeschl, Obrull | |
05.07.2019 | 15:00 - 17:00 | Presentation Session 3 | Sun, Suchacek, Odnoshyvkin, Kehnel | |
12.07.2019 | 15:00 - 17:00 | Presentation Session 4 | no presentations |
A lot of scientific publications can be found online.
The following list may help you to find some further information on your particular topic:
Some publishers:
Libraries (online and offline):
Some further hints for working with references:
If you find useful resources that are not already listed here, please tell us, so we can add them for others. Thanks.
TeachingForm | |
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Title: | Computer Vision for Augmented Reality (CV4AR) |
Professor: | Prof. Nassir Navab |
Tutors: | Dr. Ulrich Eck, Felix Bork, Johanna Wald, Matthias Grimm, Alejandro Martin, Alexander Winkler, Yida Wang, Mai Bui, Tolga Birdal, Nikolas Brasch, Helisa Dhamo, Mahdi Saleh |
Type: | Hauptseminar |
Information: | Hauptseminar, SWS: 2, ECTS: 5 |
Term: | 2019SoSe |
Abstract: |