bild
School of
Computer Science
and Communication
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:

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.


 

Copyright © Published by: Mårten Bjorkman <celle@csc.kth.se>
Updated 2012-03-02