| Date | Topic | Exercise | Notes | Solutions |
|---|---|---|---|---|
| 25-04-2006 | Matlab Tutorial | MATLABTutorial.pdf | Introduction to Matlab | -- |
| 02-05-2006 | Exercise Sheet 1 | Blatt01.pdf | Basic 2D Transformations, Duality Points Lines, Image Warping | |
| 09-05-2006 | Exercise Sheet 2 | Blatt02.pdf objects.gif synthetic_noise.gif synthetic.gif | Image Processing, Edge Detection, Feature Extraction and Their Uncertainty | |
| 16 & 23-05-2006 | Exercise Sheet 3 | Blatt03.pdf points.bmp pointsOrder.bmp model.mat | Theoretical Background, SVD, Pseudo-inverse, DLT, Decomposition of a Projection Matrix | |
| 30-05-2006 | Exercise Sheet 4 | Blatt04.pdf antibes.pgm | Theoretical Background, Affine and Metric Rectification | |
| 12-06-2006 | Exercise Sheet 5 | Blatt05.pdf | Feature extraction and tracking | |
| 19-06-2006 | Exercise Sheet 6 | Blatt06.pdf corkes1.pgm corkes2.pgm | Homography Computation, Matching and Warping | |
| 26-06-2006 | Programming Assigment Presentation | Assignment.pdf |
| Team | Names | Marks | Final Assignment Videos |
|---|---|---|---|
| 1 | Lin, Feng | 70 - 76 - 66 - 87 - 100 - 80 - 85 | |
| 2 | Unterweger, Zayana | 85 - 84 - 86 - 80 - 60 - 80 - 71 | |
| 3 | Klein | 95 - 100 - 70 - 47 - 65 - 90 - 66 | |
| 4 | Rosu, Saisset-Roche, Gyoery | 77 - 89 - 50 - 47 - 60 - 95 - 75 | |
| 5 | Blajev, Dudzicz | 83 - 79 - 72 - 10 - 65 - 95 - 60 | |
| 6 | Didebulidze, Tonev, Bacher | 64 - 70 - 55 - 10 - 60 - 60 - 25 | |
| 8 | Grundmann, Stoeger, Vogel | 98 - 100 - 100 - 100 - 105 - 100 - 75 | |
| Mean | 79 - 84 - 69 - 56 - 71 - 81 - 60 |
| TeachingForm | |
|---|---|
| Title: | 3D Computer Vision |
| Professor: | Nassir Navab |
| Tutors: | Selim Benhimane and Pierre Georgel and Andreas Hofhauser |
| Type: | Praktikum |
| Information: | 6 SWS, 12ECTS |
| Term: | 2006SoSe |
| Abstract: | The lab course is designed to teach the mathematical background of 3D computer vision with hands on practical examples form robot vision, augmented reality, and special effects for movies. The first weeks there will be exercises which provide the basic skills for the two final assignments on special effects. The final assignment will be video augmentation of short 10sec clips. We will provide you a real movie sequence where you have to first place a planar virtual scene (e.g. a policeman showing his ID card and it is an image of you on that card) and finally you have to render a virtual character/object into a sequence of a real movie. It is complementary to the lecture 3D computer vision in the winter terms which are of great benefit, but not compulsory. However, you have to ensure to have either attended the lecture or you have similar background knowledge. This lab course will cover the main algorithms in mono and stereo vision. The focus will be additionally on the development of different optimization methods. The exercises will be written (algorithms and proofs) as well as implemented in Matlab. The final assignment will be in Matlab. There will be additional introduction tutorials for Matlab. |