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521466S Machine Vision, 5 ECTS cr 
Code 521466S  Validity 01.01.1950 -
Name Machine Vision  Abbreviation Machine Vision 
Scope5 ECTS cr   
TypeAdvanced Studies Discipline4307 Information Engineering 
  Grading1 - 5, pass, fail 
Unit Computer Science and Engineering DP 

Heikkilä, Janne Tapani 

ECTS Credits 

5 ECTS cr

Language of instruction 



Spring, period  3.

Learning outcomes 

Upon completion of the course the student
1. understands the fundamentals of image acquisition, representation and modeling
2. can utilize elementary methods of machine vision for image recognition problems
3. can use 2D transformations in model fitting and image registration
4. can explain the basics of 3D imaging and reconstruction



1. Introduction, 2. Imaging and image representations, 3. Light and color, 4. Binary image analysis, 5. Texture, 6. Local features, 7. Recognition, 8. Motion, 9. 2D models and transformations, 10. Perceiving 3D from 2D images, 11. 3D transformations and reconstruction.

Mode of delivery 

Online lectures and exercises, homework assignments.

Learning activities and teaching methods 

Lectures (24 h), exercises (16 h) and programming assignments (32 h), self-studying (61 h)

Target group 

Computer Science and Engineering students and other Students of the University of Oulu.

Prerequisites and co-requisites 

521467A Digital Image Processing or an equivalent course, basic Python programming skills.

Recommended optional programme components 

521289S Machine Learning. This course provides complementary knowledge on machine learning methods needed in machine vision.

Recommended or required reading 

Lecture slides and exercise material. The following books are recommended for further information: 1) Shapiro, L.G. & Stockman, G.C.: Computer Vision, Prentice Hall, 2001. 2) Szeliski, R.: Computer Vision: Algorithms and Applications, Springer, 2011. 3) Forsyth, D.A. & Ponce, J.: Computer Vision: A Modern Approach, Prentice Hall, 2002.

Assessment methods and criteria 

The course is passed with final exam and accepted homework assignments.

Read more about assessment criteria at the University of Oulu webpage.


Numerical grading scale 1-5. Zero stands for a fail.

Person responsible 

Janne Heikkilä

Working life cooperation 


Other information 

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