- From www.coursera.org
Einführung in Computer Vision
Course
en
English
20 h
This content is rated 4.5 out of 5
- Self-paced
- Free Access
- Free certificate
- 10 Sequences
- Introductive Level
Course details
Syllabus
Erstes Kapitel: Wissenswertes über Bilder (Darstellung von Bildern, Bildgradient, Merkmalspunkte, Korrespondenzschätzung)
Zweites Kapitel: Bildentstehung (Lochkameramodell, Homogene Koordinaten, Euklidische Bewegungen, Perspektivische Projektion mit kalibrierter Kamera, Bild, Ur-Bild und Co-Bild)
Drittes Kapitel: Epipolargeometrie (Epipolargleichung, Epipole und Epipolarlinien, 8-Punkt-Algorithmus, 3D-Rekonstruktion, Die Fundamentalmatrix)
Viertes Kapitel: Planare Szenen (Planare Epipolargleichung, 4-Punkt-Algorithmus, Kamerakalibrierung)
Zweites Kapitel: Bildentstehung (Lochkameramodell, Homogene Koordinaten, Euklidische Bewegungen, Perspektivische Projektion mit kalibrierter Kamera, Bild, Ur-Bild und Co-Bild)
Drittes Kapitel: Epipolargeometrie (Epipolargleichung, Epipole und Epipolarlinien, 8-Punkt-Algorithmus, 3D-Rekonstruktion, Die Fundamentalmatrix)
Viertes Kapitel: Planare Szenen (Planare Epipolargleichung, 4-Punkt-Algorithmus, Kamerakalibrierung)
Prerequisite
None.
Instructors
- Martin Kleinsteuber - Electrical Engineering and Information Technology
Editor
Technische Universität München (TUM) is one of Europe’s top universities. It is committed to excellence in research and teaching, interdisciplinary education and the active promotion of promising young scientists. The university forges strong links with companies and scientific institutions across the world. TUM was one of the first universities in Germany to be named a University of Excellence.
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.
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