Courses persons responsible
Jani Uusitalo

Lecturers
Timo Prusi
Jani Uusitalo
N.N.

Lecturetimes and places
Per I,III: Thursday 16 - 18, K3114

Implementations

Person responsible:

Jani Uusitalo

	Period 1	Period 2	Period 3	Period 4	Period 5	Summer
Lecture	12 h/per	-	-	-	-	-
Seminar	-	-	2 h/week	-	-	-
Assignment	4 h/per	20 h/per	-	-	-	-

(Timetable for academic year 2007-2008)

Objectives
The course provides deeper knowledge about machine vision topics specialised to production automation, microproduction, microfactories, and laser processes. After the course the student knows how to use microscopic and high speed imaging systems, how to apply 3D-measurement systems, and how to calibrate cameras to be used as part of modern industrial automation.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Imaging in microworld: Macro imaging, microscopic imaging.
2.	Camera calibration: Extrinsic and intrinsic parameters, their effects on images and ways to find them. 2D and 3D calibration targets. Image normalization.
3.	High speed imaging: Central parameters and qualities of imaging systems, triggering settings, strobing. High speed illumination.
4.	Central methods for 3D-imaging: Time-of-flight, depth from focus, triangulation, (multi-baseline) stereo. Autofocusing.

Requirements for completing the course
Accepted laboratory assignments, acceptably returned and presented seminar work, sufficient participation to seminars.

Evaluation criteria for the course

Study material

Type	Name	Auhor	ISBN	URL	Edition, availability...	Exam material	Language
Lecture slides	Machine Vision: Advanced Topics	Uusitalo, Prusi				No	English
Other literature	Scientific papers supporting the topics					No	English

Prerequisites

Code	Course	Credits	M/R
OHJ-1106	OHJ-1106 Programming I	4	Recommendable
TTE-5216	TTE-5216 Machine Vision in Production Automation	5	Recommendable

Prequisite relations (Sign up to TUT Intranet required)

Remarks

Distance learning

- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In compiling teaching material, particularly for online use or other electronic media
- In compiling exercise, group or laboratory work
- In distributing and/or returning exercise work, material etc
- In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
- In interaction and discussion, such as online discussions, chat
- The course utilizes a learning platform, which? Moodle

- Contact teaching: 45 %
- Distance learning: 0 %
- Proportion of a student's independent study: 55 %

Scaling

Methods of instruction	Hours
Lectures	20
Laboratory assignments	52
Seminar reports	44
Information and communication technology	2
Other contact teaching	1
Learning diary, portfolio and other written work	4

Other scaled	Hours
New tools and study methods	3
Total sum	126

Last modified	16.05.2007
Modified by	Jani Uusitalo