Image Understanding II: Robot Vision
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.
IN2016 is a semester module in German or English language at Master’s level which is offered in winter 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)|
|120 h||45 h||4 CP|
Content, Learning Outcome and Preconditions
- Feature extraction
- Color image processing
- Identification (bar codes, OCR)
- Hand-eye calibration
- Object recognition
basic knowledge of the following fields:
- linear algebra (linear transformations between vector spaces expressed in matrix algebra)
- calculus (in particular, sums and differentiation and integration of one- and two-dimensional functions)
- Probability theory
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||3||Image Understanding II: Robot Vision (IN2016)||
Responsible/Coordination: Steger, C.
Fri, 16:00–17:30, MI HS2
Mon, 08:30–10:00, MI HS3
and singular or moved dates
Learning and Teaching Methods
Algorithms and Applications; Wiley-VCH, Weinheim, 2007
Description of exams and course work
The exam may be repeated at the end of the semester.