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Image Understanding - Advanced Methods

Module BV310003

This Module is offered by Chair of Remote Sensing Technology (N.N.).

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.

Module version of SS 2011

There are historic module descriptions of this module. A module description is valid until replaced by a newer one.

Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.

available module versions
SS 2020WS 2011/2SS 2011

Basic Information

BV310003 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 workloadContact hoursCredits (ECTS)
90 h 45 h 3 CP

Content, Learning Outcome and Preconditions


Teaching of advanced skills in the field of

-graphical models
-topology and texture
-active contour models
-object tracking
-3D object recognition
-nonlinear optimization
-machine learning

Learning Outcome

After participating in the module, the students are able to

- understand the potentials and limitations of selected methods of computer vision
- evaluate the applicability of computer vision methods for practice related tasks


Knowledge about contents of the following lectures is required:

- "Digital Image Processing" of the bachelor program "Geodesy and Geoinformation"

- "Principles of Image Understanding and Signal Processing" of the master program "Geodesy and Geoinformation"

Courses, Learning and Teaching Methods and Literature

Courses and Schedule

Learning and Teaching Methods

The module consists of a lecture whose contents are taught by talks, presentations, and panel painting. Practical examples and discussions encourage the students to devote themselves to topical contents. The understanding of lecture theory is supported by solving practice related problems.


- presentations in electronic form
- handout
- exercise sheets
- panel


- Abmayr, W. (1994): Einführung in die digitale Bildverarbeitung. Teubner Verlag
- Haberäcker, P. (1995): Praxis der digitalen Bildverarbeitung und Mustererkennung. Carl Hanser Verlag
- Jähne, B. (2005): Digitale Bildverarbeitung. 6. Auflage. Springer Verlag
- Radig, B., Hrsg. (1993): Verarbeiten und Verstehen von Bildern. Oldenbourg Verlag

Module Exam

Description of exams and course work

The credit requirement is provided by a written examination of the contents of the VO "Image Understanding - Advanced Methods". The examination questions cover the contents of the lecture. The exam will check the student's ability to remember amd aplly complex methods pressed for time.
The exam is without auxiliaries.

Note in view of the limitations on university operations as a result of the CoViD19 pandemic: If the basic conditions (hygiene, physical distance rules, etc.) for a classroom-based examination cannot be met, the planned form of examination can be changed to a written or oral online examination in accordance with §13a APSO. The decision about this change will be announced as soon as possible, but at least 14 days before the date of the examination by the examiner after consultation with the board of examiners of the respective study program.

Exam Repetition

There is a possibility to take the exam in the following 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 - Advanced Methods
Image Understanding - Advanced Methods
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