Contents:
Exercises:
Thursday, 11:15-12:00 a.m., room 031, E&IT Faculty
Prerequisities
Students are expected to have the following background:
Course materials
Lecture notes will be posted periodically on the course web site.
Selected chapters from the books below are recommended as optional reading.
ECTS Grade | A | B | C | D | E | F/FX |
mark | 100- 90 | 89-80 | 79-70 | 69-65 | 64-60 | 59 or less |
Grades will be signed at the office on Wednesday, 4.02.2009, time 12-13.
Lecture schedule (24 h):
Image analysis(8 h)
Pattern recognition (6 h)
3-D dynamic vision (4 h)
(Week) Topic | Readings | |
(Week 1) 1. Image formation | [Ma, ch. 3] | Ma-3.pdf |
(Week 2 and 3) 2. Stereo-vision | [Faugeras, ch.6] [Ma, ch. 5] | Ma5.pdf |
(Week 4 and 5) 3. Segmentation I | [Pitas, ch. 5] | Pitas5 slides |
(Week 6) 4. Segmentation II | [Pitas, ch.6 and 7] | Pitas6 slides Pitas7 slides |
(Week 7) Midterm test | ||
(Week 8) 5. Image motion | [Ballard, ch. 3.6] | Ballard, ch. 3.6 |
(Week 9) 6. Classification | [Duda, ch. 2.1-2.6, 3.1-3.4] | Duda2.ppt, Duda3-1.ppt |
(Week 10) 7. Clustering | [Duda, ch. 10.1-10.4, 10.6-10.7] | Duda10.ppt |
(Week 11) 8. Object recognition | [Ballard, ch. 11.1-11.4], [Faugeras, ch. 11] | Ballard11.zip |
(Week 12) 9. 3-D reconstruction | [Faugeras, ch.7] [Ma, ch. 2] | Ma-2.pdf |
(Week 13) 10. Estimaton and tracking | [Faugeras, ch. 8] | |
(Week 14) free | ||
(Week 15) Final test. Time: 12.15, Room: 120. |
Exercise schedule (16h)