S-114.4204 Näkemisen mallintaminen/
5 opintopistettä/ECT credits, L
The course is organized jointly by Helsinki University of Technology and University of Helsinki. University of Helsinki course homepage is here.
|   ||Helsinki University of Technology course code:||S-114.4204|
|   ||University of Helsinki course code:||582450 (computer science)|
The language of the course is English.
Mechanisms and modelling of human visual perception are the topics of the course. The emphasis is on modelling of visual feature extraction and object recognition.
The aim is to give an overview of how visual processes can be modelled and what kind of challenges exist. Particularly, knowledge of modelling of visual feature extraction and object recognition is crucial, not only for the understanding of the human visual system, but also for biologically motivated computer vision applications.
Basic knowledge of differential calculus, probability and linear algebra. Basic knowledge of the human visual system recommended (e.g. Perception and action, or Structure and functioning of the human brain).
Aapo Hyvärinen's lectures will be given at University of Helsinki, Kumpula Campus, Exactum building. For the shedule and details see the course homepage on Univ. of Helsinki.
Jouko Lampinen's lectures will be given at Helsinki University of Technology
|2.||6.2.||C222, UofH||AH||Modelling of early vision|
|3.||11.2.||C222, UofH||AH||Modelling of early vision|
|4.||13.2.||C222, UofH||AH||Modelling of early vision|
|5.||18.2||C222, UofH||AH||Modelling of early vision|
|6.||20.2.||C221, UofH||AH||Modelling of early vision and solutions to exercices|
|7.||3.4.||E111, HUT||JL||Higher-level visual processing|
|8.||10.4.||E111, HUT||JL||Modelling of object vision|
|9.||17.4.||E111, HUT||JL||Modelling of object vision|
|10.||24.4.||E111, HUT||JL||Modelling of object vision|
Material is in English and consists of lecture handouts and journal articles/book sections. The lectures and lecture handouts address the topics of the course. Articles and book sections should be read concentrating on those issues. Articles/book sections also give other background information which may be of interest but which is not essential for passing the course. Username and password are required to access handouts and articles, and can be Brequested from Kaisa Tiippana. (They are the same as for S-114.2720.)
Access via this link.
Practicals are compulsory. They are done independently, i.e. there are no specified contact hours, but do not hesitate to ask for advice from the instructors.
Examination is on Wednesday, 7.5., at 1-4 pm, in lecture room S3, EE building, TKK.
Practicals have to be passed at an acceptable level and good performance can increase the course mark.
The person identification number is the student number with two first digist removed.
For general enquiries, contact Jouko Lampinen (firstname.lastname@example.org)
Recommended for students in their 3rd year or beyond.