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Applied Computer Vision

The goal of the course is to enable participants to acquire and process digital images in technical applications in a context-aware manner. So not only the basics of digital image processing are introduced, but also the acquisition of images in computing environments and the extraction of semantic contents from the images are treated. Fundamentals like sensor calibration, feature detection (e.g. edge extraction), matching and classification will be treated. Integrated practical exercises will be concerned with operating a camera from a single-board computer. Furthermore, exemplary machine learning approaches will be used for “understanding” the images acquired previously. For participants basic programming skills as well as basic mathematical knowledge in the area of linear algebra and analysis are helpful. However, they should also be ready to work in a maker environment.



We are very sorry, but the lecture will not be offered in summer term 2020.

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Olaf Hellwich
Room MAR 6.046
+49 (0)30 314-22796

Office hours:
via Skype,
by appointment only