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Computer Vision 2


Semester:

WS 2020

Type:

Lecture

Lecturer:

Credits:

6

News

  • Due to the corona situation, all the classes will be held online via zoom.
  • All lectures will be recorded and the recorded videos will be accessible in the moodle electronic learning room.
  • In order to get access to the zoom lectures and the moodle learning room, students should register for the class on RWTH online.

Lecture Description

The lecture will cover advanced topics in computer vision. A particular focus will be on state-of-the-art techniques for object detection, tracking, visual odometry and SLAM. There will be regular exercises accompanying the lecture.

Literature

In the last decades, Computer Vision has evolved into a rapidly growing field with research going into so many directions that no single book can cover them all. Some basic material can be found in the following books:

  • Computer Vision - A Modern Approach, D. Forsyth, J. Ponce, Prentice Hall, 2002
  • Multiple View Geometry, R. Hartley, A. Zisserman, 2nd edition, Cambridge University Press, 2003
  • An Invitation to 3D Vision, Y. Ma, S. Soatto, J. Kosecka, S. Sastry, Springer, 2003

However, a good part of the material presented in this class is the result of very recent research, so it hasn't found its way into textbooks yet. Wherever research papers are necessary for a deeper understanding, we will make them available on this web page.

Matlab Resources

Course Schedule
Date Title Content Material
Introduction What is tracking? What is visual odometry? What is SLAM?
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