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Communications and Multimedia Engineering (Master of Science) >>
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Computer Vision (CV)- Lecturers
- Dr.-Ing. Christian Riess, Prof. Dr.-Ing. Marc Stamminger
- Details
- Vorlesung
2 cred.h, ECTS studies, ECTS credits: 2,5
nur Fachstudium, Sprache Englisch
Time and place: Mon 14:15 - 15:45, 0.68
- Fields of study
- WPF INF-MA ab 1
WF ICT-MA-MPS ab 1
- Contents
- This lecture discusses important algorithms from the field of computer vision. The emphasis lies on 3-D vision algorithms, covering the geometric foundations of computer vision, and central algorithms such as stereo vision, structure from motion, optical flow, and 3-D multiview reconstruction. Participants of this advanced course are expected to bring experience from prior lectures either from the field of pattern recognition or from the field of computer graphics.
- Recommended literature
- Richard Szeliski: "Computer Vision: Algorithms and Applications", Springer 2011.
- ECTS information:
- Credits: 2,5
- Additional information
- Keywords: computer vision; stereo vision; structure from motion; multi-view reconstruction
Expected participants: 20, Maximale Teilnehmerzahl: 20
www: http://www5.informatik.uni-erlangen.de/lectures/ss-19/computer-vision-cv/
- Assigned lectures
- UE: Computer Vision Exercise
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Lecturers: Benjamin Hadwiger, M. Sc., M.Sc. Falko Matern
Time and place: Tue 12:00 - 14:00, 0.01-142; Mon 16:00 - 18:00, 0.01-142; Fri 10:00 - 12:00, 0.01-142
www: http://www5.cs.fau.de/en/lectures/ss-19/computer-vision-cv
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2019:
- Computer Vision (CV)
- Department: Chair of Computer Science 5 (Pattern Recognition)
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