Machine Vision

University of Oulu

Machine Vision

Lecturer:

Janne Heikkilä

Assistant:

Janne Mustaniemi

Schedule:

Spring 2019

Lectures:

See Weboodi (Note! First lecture on 7th Jan!!)

Exercises:

See Weboodi (Note! First exercise on 16th Jan!)

Assignments:

Several homework assignments with Python that must be completed within one week after they have been published. 

Notice! Matlab is no longer used in this course.

Requirements:

Homework assignments and a written exam.

Exam dates: 21.3.2019, 6.5.2019

Grading:

Exam (60%) and homework assignments (40%)

Literature:

Lecture slides, Jupyter notebooks, exercise material.

Supplementary material: 

1) Shapiro, L.G., Stockman,G.C.: Computer Vision, Prentice Hall, 2001.
2) R. Szeliski: Computer Vision: Algorithms and Applications, Springer, 2011.
3) D.A. Forsyth & J. Ponce: Computer Vision: A Modern Approach, Prentice Hall, 2002.

Prerequisites:

Digital Image Processing (521467A) or an equivalent course

Basic Python programming skills

Registration:

 Weboodi

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