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Bildverstehen II: Robot Vision

IN2016Cross-Cutting Elective Modules4 ECTSGerman/Englishwinter semesterDepartment Computer Engineering
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You learn practice-relevant methods and algorithms of robot vision and machine vision. The lecture explains fundamentals, data structures and implementation aspects of central procedures and shows typical applications, so that you can analyze, evaluate and develop practical applications for image processing tasks.

What you will be able to do

  • Understand the theory of the most important algorithms of robot vision
  • Know data structures and implementation aspects of these algorithms
  • Analyze and evaluate image processing tasks
  • Develop applications of robotic vision and machine vision

What the module consists of

  • LecturePresentation of methods and interactive examples to convey theory and practice

Teaching method

  • Lecture (slides, interactive examples)Conveying the methods, their fundamentals and practical examples
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Official page in TUMonline · Details are not binding.