Computer Vision
Prof. Thomas Brox
Computer vision is a very active research field with many practical applications, for instance in quality control, robotics, driver assistance systems, and many more. The ultimate goal of computer vision is to imitate the great capabilies of the human visual system, allowing the computer not only to record images but also to interpret them. Significant progress has been made in recent years. This course introduces the most important concepts in today's Computer Vision research. The exercises will consist of programming assignments in Python, where you will learn to implement and/or test the most important techniques presented in the lectures.
Lecture:
(2 SWS) |
Tuesday, 10:15-11:45,
Room: 101-01-009/13
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Exercises:
(2 SWS)
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Thursday, 12:00-13:00 (first session October 27, 2022),
Zoom link
Contact persons: Sudhanshu Mittal, Simon Ging
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| Beginning: |
Tuesday, October 18, 2022
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| ECTS Credits: |
6 |
| Requirements: |
Fundamental mathematical knowledge and programming skills in Python. Image Processing and Computer Graphics teaches important technical knowledge that won't be repeated in Computer Vision. Thus, prior attendance of Image Processing is highly recommended. |
| Language: |
The lectures are given in English.
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| Exam: |
Written exam.
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Material:
Lecture material will be updated during the course. Some of the recordings are a bit outdated. Recording files are about 200MB each. *denotes lectures with an exercise.
Exercise material:
Short introduction to git
Setup instructions
Exercises on github
