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Computer Vision (CV)
- Dozentinnen/Dozenten
- Dr.-Ing. Christian Riess, Prof. Dr.-Ing. Marc Stamminger
- Angaben
- Vorlesung
2 SWS, ECTS-Studium, ECTS-Credits: 2,5
nur Fachstudium, Sprache Englisch
Zeit und Ort: Mi 10:00 - 12:00, 01.255-128
- Studienfächer / Studienrichtungen
- WPF INF-MA ab 1
WF IuK-MA-MMS ab 1
- Inhalt
- 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.
- Empfohlene Literatur
- Richard Szeliski: "Computer Vision: Algorithms and Applications", Springer 2011.
- ECTS-Informationen:
- Credits: 2,5
- Zusätzliche Informationen
- Schlagwörter: computer vision; stereo vision; structure from motion; multi-view reconstruction
Erwartete Teilnehmerzahl: 20, Maximale Teilnehmerzahl: 20
www: http://www5.informatik.uni-erlangen.de/lectures/ss-17/computer-vision-cv/
- Zugeordnete Lehrveranstaltungen
- UE: Computer Vision Exercise
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Dozent/in: AmirAbbas Davari, M. Sc.
Zeit und Ort: Di 12:00 - 14:00, 0.01-142; Mo 16:00 - 18:00, 0.01-142 www: http://www5.cs.fau.de/en/lectures/ss-17/computer-vision-cv
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2017:
- Computer Vision (CV)
- Institution: Lehrstuhl für Informatik 5 (Mustererkennung)
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