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Advanced Image Analysis

Summer Term 2012

Prerequisites – Synopsis – Contents – Assignments – References

Advanced Image Analysis

Lecturer: Christian Schmaltz
Summer Term 2012

Lectures (2h) with programming/theoretical exercises (2h)
(6 credit points)


Lectures: Thursday 10-12 c.t. Building E 2.1, Room 001

First lecture: Thursday, April 19, 2012.

Tutorials: 2 hours each week,
Tutorials: Building E1.3, Seminar Room 0.15 (theory)
Tutorials: Building E1.3, Cip-Pool 104 (programming)

23/08/2012: The certificates are ready. See below for details!

13/08/2012: Results of the second written exam are online. See below for details!
30/07/2012: Results of the first written exam are online. See below for details!
12/07/2012: There will be no tutorial on Monday, July 16th. Instead, you should learn for the upcoming exam!
03/05/2012: Date and time of the tutorials has changed
27/04/2012: Registration closed!
23/04/2012: The date and time of the exams is now fixed, see here
19/04/2012: The registration is open! You can register here
11/04/2012: Course homepage online. Important news will be posted here and also on the mailing list.

Example - Freehand High Dynamic Range (HDR) Imaging

Exposure series.	Tone mapped HDR reconstruction without and with alignment.

Requires undergraduate knowledge in mathematics (e.g. ''Mathematik für Informatiker I-III''). Basic knowledge in image processing and computer vision is recommendable. The lectures will be given in English.

In this lecture, we will discuss advanced topics in the fields of image processing and computer vision. Most of the presented methods fuse the information from several images in order to produce a somwhat enhanced image. Examples for such techniques are super-resolution, high dynamic range (HDR) imaging, tone mapping, and gradient domain techniques.

REGISTRATION
You should have enrolled here for the lecture from Thu, April 19, 2012 (shortly after the first lecture), to Thu, April 26, 2012 (shortly after the second lecture).

Participants of the course can download the lecture materials here after the lecture (access is password-protected). However, be aware that these slides are only provided to support the classroom teaching, not to replace it. Additional organisational information, such as examples and explanations that may be helpful or necessary to understand the content of the course (and thus relevant for the exam), will be provided in the lectures. It is solely your responsibility - not ours - to make sure that you receive this infomation. The topics given here are preliminary and will probably change slightly.

Date	Topic
19/04	Introduction, Overview
26/04	Finding Correspondences
03/05	Super-Resolution (19.07: Updated slide 9)
10/05	HDR Basics
24/05	HDR II: Alignment Strategies for Exposure Series (19.07: Updated slide 27)
31/05	HDR III: Optic Flow-based Alignment; Joint Super-Resolution and HDR
14/06	Tone Mapping I: Global and Local Operators
21/06	Tone Mapping II: Frequency and Gradient Domain Operators
28/06	Gradient Domain Techniques I: Basics
05/07	Gradient Domain Techniques II: Applications
12/07	Gradient Domain Techniques III : More Applications
19/07	Summary and Outlook
26/07	Exam

Programming excercises and theoretical assignments are offered as part of the tutorials. The regular attendence of these excercises is requirement for admission to the exam.

Date	Assignment
09/05	P2 - Programming Assignment Sources
04/06	P4 - Programming Assignment Sources
20/06	P6 - Programming Assignment Sources
18/07	P8 - Programming Assignment Sources

Please remember that you have to register online for the lecture/exam in the HISPOS system of the Saarland University

The first written exam takes place on Thursday, July 26 from 10 AM to 12 PM
in Building E2.1, Room 001, i.e. instead of the last lecture in the usual lecture hall.

The second written exam takes place on Wednesday, August 8 from 10 AM to 12 PM
in Building E1.3, Lecture Hall 001.


The better grade of both exams will count.

You can inspect your exam sheets on Tuesday, August 14, 11:00-12:00 or Thursday, August 16, 11:00-12:00, building E1.7, room 4.07 (4th floor).

The following thresholds were applied to determine the grades of both exams:

• 1.0 : 30.0 - 28.0 points
• 1.3 : 27.5 - 26.5
• 1.7 : 26.0 - 25.0
• 2.0 : 24.5 - 23.5
• 2.3 : 23.0 - 22.0
• 2.7 : 21.5 - 20.5
• 3.0 : 20.0 - 19.0
• 3.3 : 18.5 - 17.5
• 3.7 : 17.0 - 16.0
• 4.0 : 15.5 - 14.5
• 5.0 : 14.0 - 0

The detailed distribution of points of the first exam was:

• 29.0 points : 1
• 25.0 points : 1
• 24.5 points : 1
• 24.0 points : 1
• 23.0 points : 1
• 21.5 points : 1
• 20.5 points : 1
• 19.5 points : 1
• 16.0 points : 1
• 13.0 points : 1
• 8.5 points : 1
• 4.5 points : 1

The detailed distribution of points of the second exam was:

• 28.0 points : 2
• 24.5 points : 2
• 22.5 points : 1
• 22.0 points : 1
• 21.5 points : 1
• 19.0 points : 1
• 8.5 points : 2

The results of the second exam can be queried via our online query form.
The results from the first exam can still be queried here.

Please note that your final grade will be the best grade out of the two exams!

NEWS: The cerfificates (Scheine) are issued by the office of the Mathematics Department. They can be obtained from Mrs. Voss, Building E2.4, Room 111 (math building, ground floor, 8.15-11.30 AM).

There is no specific book that covers the complete content of this class. Many lectures will be based on articles from journals and conferences. However, the recent book of R. Szeliski covers some of the topics and additionally summarises most of the intensively studied areas of computer vision research:

R.Szeliski: Computer Vision: Algorithms and Applications.
ISBN: 978-1-84882-934-3, Springer, Berlin, 2011.
Note: You can download a PDF version of the book here.

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