Courses persons responsible
Seppo Pohjolainen

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	We start with a brief survey of feature extraction for tracking purposes.
2.	Notions, such as optical flow and visual velocity field are introduced.
3.	This is followed by an analytical decomposition of the mapping properties of projected three dimensional rigid body motion onto a temporal image sequence.
4.	An equally brief survey of statistical calibration techniques to produce a model of motion and shape rounds up this short course.

Evaluation criteria for the course

Prerequisites
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 video conferences, video lectures
- In exams or assessment of knowledge and skill/learning
- The course utilizes a learning platform, which? A&O

- Contact teaching: 20 %
- Distance learning: 40 %
- Proportion of a student's independent study: 40 %

Scaling

Methods of instruction	Hours
Assignments	45
Information and communication technology	64
Total sum	109

Correspondence of content
MAT-56200 Mathematics of Visual Motion

Course homepage

Last modified	05.02.2007
Modified by	Emilia Ylirinne