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University of Helsinki Department of Computer Science
 

Department of Computer Science

582450 Modelling of Vision (5 cr, 3 old credits)

A lecture course in English, spring 2008

Overview

The topics are mechanisms and modelling of human perception. The emphasis is on modelling of visual feature extraction, and modelling of object and scene recognition. The course is most suitable to students specializing in bioinformatics, neuroinformatics, or intelligent systems

Lecturers

Doc. Aapo Hyvärinen (UH) and Prof. Jouko Lampinen (TKK)

Timetable

The course will be given in collaboration with Helsinki University of Technology (TKK). Course home page at TKK

The first half (six lectures) is given by Aapo Hyvärinen at University of Helsinki, Kumpula Campus, Exactum building, lecture room C222. See here for directions on how to get there.

DATE TIME PLACE TOPIC
Mon 4.2.2008 14:15-16:00 Kumpula, Exactum, C222 Introduction to modelling of vision
Wed 6.2. 14:15-16:00 Kumpula, Exactum, C222 Modelling of early vision
Mon 11.2. 14:15-16:00 Kumpula, Exactum, C222 Modelling of early vision
Wed 13.2. 14:15-16:00 Kumpula, Exactum, C222 Modelling of early vision
Mon 18.2. 14:15-16:00 Kumpula, Exactum, C222 Modelling of early vision
Wed 20.2. 14:15-16:00 Kumpula, Exactum, C222 Modelling of early vision and solutions to exercices

The rest of the lectures will be given at TKK in period IV, see the course home page at TKK for exact schedule and travel directions for the second half.

Prerequisites

Basic courses in calculus, probability, and linear algebra. Fundamentals of Fourier analysis and human vision are recommended, but background material on these will be distributed and briefly reviewed in the lectures.

Course material

You need a username and password (available from the lecturers) to access the course material page for the 1st half. The username and password are the same for the TKK pages on the 2nd half.

What you need to do to get the credits

Examination

There is a single test for the whole course, see course home page at TKK for information.

Practical works

You also need to do two practical works: one for the first half and one for the second half.

Registration

Please register to the course using the registration system of your home university. For students of the University of Helsinki, this means the Ilmo system. For students of TKK, this means the wwwTopi system. If none of these is possible, register by e-mail to the lecturer of your home university.

Related courses

Here's list of neuroinformatics courses in the Helsinki area (in Finnish).

Contact person

The contact person for the first half is Aapo Hyvärinen.

For more general questions, the contact person is Jouko Lampinen.

Page authoring information

Author Aapo Hyvärinen
Last modified: 18th Apr 2008