Image Understanding I: Machine Vision Algorithms
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
IN2023 is a semester module in German language at Master’s level which is offered in summer semester.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
|Total workload||Contact hours||Credits (ECTS)|
|90 h||30 h||3 CP|
Content, Learning Outcome and Preconditions
- Image acquisition
- Image enhancement
- Segmentation and feature extraction
- Edge extraction
- Segmentation and fitting of geometric primitives
- Camera calibration
- Template matching
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||2||Image Understanding I: Machine Vision Algorithms (IN2023)||Steger, C.||
Fri, 08:30–10:00, virtuell
Learning and Teaching Methods
Description of exams and course work
The exam may be repeated at the end of the semester.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.
|Image Understanding I: Machine Vision Algorithms|
|Tue, 2021-03-02, 14:15 till 15:15||0.002
||Präsenzprüfung https://www.tum.de/die-tum/aktuelles/coronavirus/corona-lehre-pruefungen/||till 2021-01-01 (cancelation of registration till 2021-02-23)|