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.

 

 

People

Name Title Phone E-mail
Francois Bernard Lauze Associate Professor +4535335671 E-mail
Jon Sporring Professor   E-mail
Kim Steenstrup Pedersen Professor +4535321455 E-mail