Lectures: Tuesday and Friday, 11-13 c.t., Building 45, Lecture Hall 3
First lecture: Tuesday, October 26, 2004
New schedule starting Tuesday, Nov. 2:
Tuesday, 11-13 c.t., Building 45, Lecture Hall 2
Friday, 11-13 c.t., Building 45, Lecture Hall 3
Tutorials: 6 groups are scheduled for Monday 14-16, 16-18 and Friday 14-16, 16-18.
All tutorials take place in building 45.
The online registration for tutorials has been closed on Nov. 5. You can still use the group registration form to check which group you are currently registered for. For all questions concerning tutorial inscription contact Martin Welk, welk (at) mia.uni-saarland.de.
The lectures are continued in the summer term by the in-depth course "Differential Equations in Image Processing and Computer Vision" which leads to current research topics. Both classes are necessary in order to pursue a diploma or master thesis in our group.
Exercise sheets (programming and theoretical) are graded. Each exercise sheet allows to achieve a maximum of 12 points. Moreover, you are obliged to regularly attend the tutorials. Each time you miss a tutorial, 6 points are subtracted from your score (starting Nov. 5). To qualify for the exam, your final score (at the end of the term) must be 50 % or more of the possible points.
For additional preparation for the written exam, self-test problems have been prepared. Opportunity to ask questions related to these problems is given in the tutorials on Friday, Feb. 11, and Monday, Feb. 14, 2005.
The following thresholds were applied in determining the grades:
Grade 1.0: minimum 57 points /
1.3: min. 54 p. /
1.7: min. 51 p. /
2.0: min. 48 p. /
2.3: min. 45 p. /
2.7: min. 42 p. /
3.0: min. 39 p. /
3.3: min. 36 p. /
3.7: min. 33 p. /
4.0: min. 29 p.
Note that the thresholds have been calculated based on a total of
59 points (instead of 64) taking into account the late announcement
concerning problem 6c.
The detailed distribution of points and marks can be found here .
You could inspect your exam sheets on Thursday, March 17, between 2:30 and 4:00 p.m., building 27.2, basement, room 26 (opposite ladies' restrooms). Outside this time, individual inspection is possible on appointment in the offices of Andrés Bruhn, Martin Welk, Stephan Didas.
The second written exam took place on Thursday, March 31, 1:30 pm till 4:30 pm
in the physics lecture hall (Großer Hörsaal Physik),
building 22.
Everybody who was admitted to the first exam was automatically
admitted to the second exam, independent on whether he/she had
taken part, failed or passed the first exam.
However, for those who have taken the second exam
any grade from the first exam has become invalid – which implies
that some grades have been improved, while some have been deteriorated,
up to failing the whole course.
The point thresholds for the different grades were identical to those in the first exam.
The results can be queried via our online query form. Please note that the number of points and grades returned by the online query refer to the last exam you have written: Results from the first exam will be displayed if and only if you have not attended the second exam.
Inspection of exam sheets from the second exam:
Friday, May 6, 1400–1500 h (2:00–3.00 p.m.),
building 27.2, basement,
room 26 (opposite ladies' restrooms).
Outside this time, individual inspection is possible
only after previous e-mail appointment with
Andrés Bruhn, Martin Welk, or Stephan Didas.
| Date | Topic |
|---|---|
| 05. 11. | Assignment 1: Fourier Transform |
| 19. 11. | Assignment 3: Point Operations |
| 3. 12. | Assignment 5: Morphology |
| 17. 12. | Assignment 7: Deblurring |
| 21. 1. | Assignment 9: Corners, Segmentation |
| 4. 2. | Assignment 11: Optic Flow |
| Self-Test Problems (Problem Sheet) |
Furthermore, there is an interesting
online compendium,
where many researchers have written survey articles.
General informations and numerous links can be found at the
Computer Vision Homepage.
If you are looking for a specific reference, check out
Keith Price's Annotated Computer Vision Bibliography.
Numerous citations and online articles can be extracted from
the CiteSeer webpage.