Mathematical Sciences

Lund University

Computer vision

Official Course Description

Description

This course previously had the code FMA270.

The aim of the course is to give an overview of the theory and practically useful methods in computer vision, with applications within e.g. vision systems, non-invasive measurements and augmented reality. In addition the aim is to make the student develop his or her ability in problem solving, with and without a computer, using mathematical tools taken from many areas of the mathematical sciences, in particular geometry, optimization, mathematical statistics, invariant theory and transform theory.

Coming Sessions

Course Information

LTH Code:FMAN85
PHD Code: FMA271Fny
Credits:6
Level:Advanced Level
Language:English

CEQ

CEQ - Computer vision