Grundlagen von Computer Vision

What it is about

You will learn how images are formed and how to process image information for measurement and control tasks. The module covers surface properties, camera models and lenses as well as basic image processing and 3D reconstruction methods (stereo, shape from shading, structure-from-motion). In the end you will be able to calibrate camera systems and assess and apply methods for 3D reconstruction and image processing for robotic applications.

What you will be able to do

• Analyze radiometric properties of light sources and surfaces
• Define camera models and lens choice for field of view and accuracy
• Calibrate camera systems
• Apply image filtering, edge detection and segmentation
• Understand matching procedures for image regions
• Master basics of 3D reconstruction (binocular, motion stereo, shape from shading)
• Design viable image processing systems for robotics with real-time and accuracy considerations

What the module consists of

• VorlesungDelivery of content and discussion of central concepts
• TutorialsIndependent deepening through exercises discussed in the lecture
• Gastvorträge / PraxisbeispieleInsights into research and industrial applications

Teaching method

• VorlesungExplanation of content and interactive discussion
• Aufgezeichnete VorlesungenSupport for self-study
• TutorialsIndependent practice and deepening of the content
• Praxisbeispiele & GastvorträgeApplication of theory in research and industry