[Forside] [Hovedområder] [Perioder] [Udannelser] [Alle kurser på en side]
The aim of the course is to give participants insight into methods for inferring properties of the world based on one or more digital images. The course takes a computational perspective on Computer Vision, hence focus is on using computers and cameras to measure and infer properties of real world objects based on images; properties such as shape, color, position and motion. The technique presented has various applications in diverse fields such as Biomedical Imaging, Video Surveillance, Robotics and Human Computer Interaction etc.
The course will present basic computational methods from Computer Vision. Focus will be on Computer Vision techniques used for to measuring and inferring properties of real world objects, based on digital images.
Students most know of signal analyses and signal processing at the level of a bachelor degree in electronic engineering or software engineering. Bachelors in computer science, physics or mathematics, with primary knowledge of signal analyses and signal processing will also be able to attend the course. Knowledge of basic stochastic signal processing and image processing is required.
Henrik Kartsoft
Lectures and labs.
To be announced
June, re-examination after appointment with lecturer
Aarhus School of Engineering (ASE)
The participants must at the end of the course be able to:
Apply and explain methods for object tracking based images.
Oral examination. Grades on the 7-scale. External examiner.
