Computer Vision – University of Copenhagen

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Department of Computer Science DIKU > Research > The Image Section > Computer Vision

Computer Vision

Computer vision is concerned with the automated analysis of still images and videos. We analyse images created by standard digital color cameras, active depth sensors (e.g. Microsoft Kinect), as well as multiple band images from astronomical telescopes.

Computer vision is rapidly becoming an essential ingredient in many daily life activities such as automatic driving assistants, face and fingerprint recognition, natural user interfaces for computers and game consoles, mobile phone applications as well as applications involving consumer digital cameras or video surveillance.

We focus on development of fundamental algorithms as well as applications of these to industrial and real-life problems, such as welding, satellite imagery, food production, saw mill industry, agriculture, human rehabilitation as well as astronomical image analysis.

Computer vision and image analysis are closely related to neighboring research areas such as machine learning, signal processing and graphics, and our research is mathematically founded combined with empirical evaluation.

Projects

Teaching activities

  • Currently we offer the following relevant courses:
  • Signal and image processing
  • Vision and image processing
  • Advanced topics in data modelling
  • CMM projects 1 and 2.

We also offer project and MSc thesis supervision in areas related to our research activities.