KTH / CSC / Kurser / DD2423 / bildat11

Image Analysis and Computer Vision

Re-exam: There will be a re-exam on 29th March at 9-14. The exam will be held at Teknikringen 14, room 304 (third floor).

Exam results: The exam has been corrected. More information can be found under the news section.

Request: Please fill in the course analysis, so that we know what improve in the course for next year.

Master thesis: If you are interested in writing a Master thesis in Computer vision, please visit either the CAS or CVAP webpages.

General Information

Course responsible, Schedule, Aim group, Goals, Course literature , Student office, Assessment

Course responsible

Course responsible and lecturer Mårten Björkman (email)
Meetings can be scheduled and will be held in room 722 at Teknikringen 14.
TAs are Niklas Bergström (email), Cheng Zhang (email) and Magnus Burenius (email)

Schedule and Lecture Notes

Every week during weeks 43-50 in period 2 there will be 2-3 lectures a week as following:

Schema for printing.

Date	Day	Time	Place	Lecture title	Pdf file (1spp)	Pdf file (4spp)	Readings	Additional info
24.10.	Mon	10-12	Q33	Introduction	Lect1	Lect1
25.10	Tue	15-17	K2	Projections, sampling	Lect2	Lect2	Projections
28.10.	Fre	13-15	D3	Digital geometry	Lect3	Lect3		Theory Lab1 done
1.11.	Tue	13-15	V1	Linear systems, convolution	Lect4	Lect4	sampling convolution
2.11.	Wed	13-15	D3	Fourier transform	Lect5	Lect5	FFT
4.11.	Fri	15-17	D3	Linear and nonlinear filtering	Lect6	Lect6		Deadline Lab1, 17:00 Theory Lab2 done
9.11.	Wed	15-17	D3	Edge detection	Lect7	Lect7
10.11.	Thu	10-12	E2	Image segmentation	Lect8	Lect8
16.11.	Wed	15-17	D3	Feature extraction	Lect9	Lect9
18.11.	Fri	15-17	D3	Hough transform, image descriptors, dimensionality reduction	Lect10	Lect10		Deadline Lab2, 17:00
23.11.	Wed	13-15	D3	Object recognition	Lect11	Lect11		Theory Lab3 done
25.11.	Fri	15-17	D3	Stereo	Lect12	Lect12	Stereo basics
30.11.	Wed	13-15	D3	Morphological operators, Summary	Lect13	Lect13
1.12.	Thu	10-12	K2	Exercises 1	Exercises 1 (questions)	Exercises 1 (solutions)		Given by N.Bergström
6.12.	Tue	15-17	D3	Biological vision		Lect14		Given by G.Kootstra
8.12.	Thu	10-12	E2	Exercises 2	Exercises 2 (questions)	Exercises 2 (solutions)
9.12.	Fri							Deadline Lab3, 17:00

Who should take this course and course registration

Only undergraduates that are registered in Ladok are allowed to take the course. You are supposed to first apply/choose this course as a part of your optional courses. Phd students will need a special form signed by their supervisor and the dean from their home institution.

Before the first scheduled lab moment, you should also join the course with the CSCs course administration program course

course join bildat11

This command sets up your environment setting such as for example access to some of the module files needed during the course. These will be loaded automatically each time you log in. In addition, it controls with each login if a lecturer has sent any new messages to course participants. (See course help for additional information.)

After finishing the course, you should do

course leave bildat11

to remove the effects of course join.

NOTE! If you want immediate access to the updated changes after doing this first time, you will have to log out and log in - opening a new terminal window is not enough!

If you are new to Linux, read this.

Course aim

can be found in study handbook.

Course literature

Book

Following book will be used in period 2 2011:

R. C. Gonzalez and R. E. Woods: ``Digital Image Processing'' Prentice Hall, 2008. (3rd edition)

This book gives a detailed introduction and description of image processing, image compression and some parts of image analysis. However, this book does not cover the part of the course related to computer vision. For this reason, additional material will be handed out during the course. The book can be purchased at Kårbokhandeln.

Details about covered chapters are here.

This course and its assesment is designed so that both the exam and the labs can be managed based on the book and lecture notes in combination with the given material.

Special course material (Kursbunt)

There is no any additional material apart from the book that has to be purchased - all the information and material will be posted on the web.

Student Office and Delfi

CSCs student office is situated at Osquars backe 2 level 2. Opening hours can be found here . Here you will be able to pick up your exam after it has been corrected.

Delfi is CSCs system group that takes care of student access cards and user accounts. More information here .

Assesment

All details can be found here.