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),
Building 51, Room 03-026 and
Zoom
Contact persons: Sudhanshu Mittal, Simon Ging
ILIAS Forum
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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 is on 14.9.2023 13:00-14:00. For the type of exam see the test exam for Image Processing.
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Material:
Lecture material will be updated during the course. Recording files are about 200MB each.
Exercise material:
Short introduction to git
Setup instructions
Exercises on github
