Computer vision

Official Course Description

LTH Course Description (SV) LTH Course Description (EN)

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.

Current Sessions

VT1

Coming Sessions

, VT1

Finished Sessions

Course Information

LTH Code:FMA270
PHD Code: FMA270F
Credits:6.0
Level:Advanced Level
Language:English

Prerequisites

Following courses

CEQ

Questions: webmaster
Last update: 2013-04-10

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