Mathematical Sciences

Lund University

Computer vision

Official Course Description

Description

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.

Since the academic year 2017/18 the course has a new course code: FMAN85, see http://www.maths.lth.se/course/datorseendenykod/

Finished Sessions

Course Information

LTH Code:FMA270
PHD Code: FMA271F
Credits:6.0
Level:Advanced Level
Language:English

Prerequisites

Following courses

CEQ

CEQ - Computer vision