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Seminar Computer Vision (SemCV)- Lecturer
- Dipl.-Ing. Peter Fürsattel
- Details
- Seminar
4 cred.h, ECTS studies, ECTS credits: 5, Sprache Englisch
Time and place: single appointment on 30.1.2017 12:00 - 14:00, 01.134; single appointment on 2.2.2017 8:00 - 10:00, 01.134; single appointment on 7.2.2017 10:00 - 12:00, 01.134; comments on time and place: Vergabe der Themen und Termine zu Beginn des Semesters
Preliminary meeting: 24.10.2016, 12:00 - 14:00 Uhr, room 01.134
- Fields of study
- WPF INF-MA ab 1
WPF CE-MA-SEM ab 1
WPF IuK-MA ab 1
- Contents
- This seminar discusses individual algorithms and applications of computer vision. The goal of this seminar is to introduce students to selected aspects of computer vision. In this term, we will cover algorithms for 2.5D scene analysis, forgery detection for video sequences and potentially other current research topics.
In the beginning of the term, there will be an introductory meeting to discuss the organization of the project and for presenting the individual topics.
During the term you will have time to prepare a presentation and your implementation/paper. The final presentations will be held at the end of the term. The grade consists of two parts: the final presentation of the topic and a seminar paper or an implementation. Each participant can choose between writing a 6 pages seminar paper (IEEE style), or creating an implementation/demonstrator, including a short documentation. Please visit the website below for additional information.
- Recommended literature
- Hartley R. and Zisserman A.: "Multiple View Geometry in Computer Vision", Cambridge University Press, 2004
- ECTS information:
- Credits: 5
- Additional information
- Keywords: computer vision, pinhole camera model, stereo vision
Expected participants: 10
www: http://www5.cs.fau.de/lectures/ws-1617/seminar-computer-vision-semcv/
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2016/2017:
- Seminar Computer Vision (SemCV)
- Seminar Medizintechnik und Medizinethik (Medtech Ethik)
- Department: Chair of Computer Science 5 (Pattern Recognition)
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