Computer Vision / Advanced Image Processing

Time and Place

Content

The course will present relevant algorithms and theories within the field of Computer Vision / Advanced Image Processing.
The main focus will be on the technical and methodological elements behind solutions to general problems in Vision.
The course will consist of a number of lectures together with a group-wise mini-project.

Plan

Mini Module	Topics	Date	Class number	Lecturer	Students*
1	Face Detection	Monday 07/2-11	NJ14 3-119	Kamal Nasrollahi	MED8/VGIS8
2	Biometrics and Face Recognition & VIGS7 Students' Projects Presentation	Monday 21/2-11	NJ14 4-117	Kamal Nasrollahi	MED8/VGIS8/PDP8**
3	Super-Resolution	Friday, 04/03-11	NJ14 3-119	Kamal Nasrollahi	MED8/VGIS8
4	Compression of Images	Monday 07/03-11	NJ14 3-119	Thomas B. Moeslund	MED8
5	Stereo Video Data	Friday 01/04-11	Frb7 E3-109	Claus B. Madsen	MED8/VGIS8
6	Segmentaion in Video	Tuesday 22/3-11	Frb7 E3-109	Preben Fihl	MED8/VGIS8/PDP8
7	Creating Visual Effects in Images	Tuesday 05/4-11	Frb7 E3-109	Kamal Nasrollahi	MED8
8	Tracking	New Date and Time: Monday April 18th 8:15-12:00	NJ14 3-119	Kamal Nasrollahi	MED8/VGIS8/PDP8
9	Students' Mini-Projects Presentation	New Date: Tuesday April 19th 12:30-16:00	NJ14 3-119	Kamal Nasrollahi	MED8/VGIS8/PDP8

* VGIS8 and PDP8 students are obviously welcome to follow all lectures (except #4 which will be covered in the course Media Data)
** PDP8 students are also recommended to participate in this lecture, as the MED8 students will talk about their projects in the last semester.These projects can be considered as good ideas for projects of this course for PDP8 students.

Note: All the students (including the PDP, VGIS and MED) are required to show up for the 9th lecture and present their mini-projects. For the PDP students this presentation would be as a report of the current status of their mini-project. The oral/individual mini-project examination for the PDP students will take place at June 6th.

Literature:

See individual lectures.

Exercise:

Either some lecture specific exercises or the exercise-time will be spend working on the mini-projects.