Chapter 1-2. Introduction and 3D Modelling (two weeks)
1 |
Introduction |
Ma 2004:Ch 1 (Ch 2.1 and 2.3) |
Practical matters. Software installation. Recap of linear algebra. |
2 |
3D Modelling |
Ma 2004:Ch 2, App A (SZ 2) |
3D modelling, motion |
3 |
3D Objects in Python |
Tutorials |
Homogeneous co-ordinates. General Rotations. 3D Transformations in Python |
4 |
3D Modelling Part II |
|
Velocity transformations. Recap. Questions. |
Chapter 4. Feature Tracking (three weeks)
Note Session 12 was planned Self-Study due to staff seminar. Session 13-14 became self-study because of sick leave, and negligible progress was made this week.
Note for next year We should have had one session on blurring filters and similar techniques from image processing before starting on Corner Detection (Session 8). This would have made the introduction of signal differentiation smoother.
Chapter 5. Projective Reconstruction (two weeks ?)
This plan is tentative.
Notes for next year
- Synthetic Experiment should be merged into Eight-point algorithm
- Study Technique should probably be done earlier in the semester
- 3D modelling took a lot of time. Many did not realise that they needed to find triangles. Rectangles mixed with triangles caused problems.
- Generally, the preliminary steps of the exploratory exercises should have been premade, to save time for the students.
- Algorithm implementation is difficult and require sample solutions
New. Machine Learning
Chapter 6 and 11. Projective Reconstruction (many weeks)
Notes for next year
- We can skip Stratified Reconstruction and Partial Scene Information
- Distorted Space may be interesting as an introduction to inner product spaces.
- What can we make out of Real World Reconstruction?
Closure/Tentative
27 |
Continuous Motion |
Ma 2004:Ch 5.4 |
|
28 |
Tentative Seminar: Applications |
TBA |
TBC - we may decide to move on to feature tracking |
- Ma 2004 Chapter 10. Partial Scene Knowledge
- This is referenced as a building block in Chapter 11.
- Ma 2004 Chapter 11.4.
- Ma 2004 Chapter 11.5. Keywords texture, visualisation