Course syllabus

Computer Vision

FMAN85, 6 credits, A (Second Cycle)

Valid for: 2019/20
Decided by: PLED F/Pi
Date of Decision: 2019-03-26

General Information

Elective for: BME4, C4, D4-bg, D4-mai, E4-bg, F4, F4-bg, F4-mai, Pi4-bam
Language of instruction: The course will be given in English on demand


The aim of the course is to give an overview of the theory of 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.

Learning outcomes

Knowledge and understanding
For a passing grade the student must


Competences and skills
For a passing grade the student must



Projective geometry. Geometric transformations. Modelling of cameras. Stereo vision. Photogrammetry. Recognition. 3D-modelling. Geometry of surfaces and their silhouettes. Visualisation.

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Compulsory assignments comprising both theory and computer work. Approved results on all these is enough to pass the course. To get a higher grade it is necessary to pass a written and an oral test 

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.


Required prior knowledge: FMAF05 Systems and Transforms, or equivalent (for example FMAF10).
The number of participants is limited to: No
The course overlaps following course/s: FMA270, FMA271

Reading list

Contact and other information

Course coordinator: Studierektor Anders Holst,
Teacher: Carl Olsson,
Course administrator: Studerandeexpeditionen,
Course homepage: