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Lecture Notes - AIS2204 Maskinsyn
Introduction (two weeks?)
| # | Topic | Reading | Keywords |
|---|---|---|---|
| 1 | Introduction | Ma 2004:Ch 1 | Quick examples - software installation |
| 2 | 3D Mathematics | Ma 2004:Ch 2, App A (SZ 2) | 3D modelling, motion |
| 3 | 3D Objects in Python | Tutorials | |
| 4? | More mathematics - quaternions? | ||
| 5 | Image Formation | Ma 2004:Ch 3-3.3.1 (SZ 6) | projection, lens/camera |
| 6 | Camera Mathematics | Ma 2004:Ch 3.3-3.4 | Calibration, Radial Distortion etc. |
| 7 | Distortion in Practice | Calibration in OpenCV | Radial Distortion, Tangential Distortion |
- Session 8. Programming with Python OpenCV ??
- Getting Started with Videos
- Core Operations on images
Project 1. Feature Tracking (three weeks?)
Keywords Signal Processing, 2D
| # | Topic | Reading | Keywords |
|---|---|---|---|
| 1 | Corner Detection | Ma 2004:Ch 4-4.2 (SZ 4) | Calculate Gradient. Harris Feature Detector. |
| 2 | Corner Detection in Python | ||
| 3 | Tracking Features | Ma 2004:Ch 4.3-4.5 | Tracking of Features. Tracking of Edges. |
| 4 | Tracking Features in Python |
- OpenCV/Python Tutorial
- Background: Understanding Features
- Harris Corner Detection
- Overview Feature Detection and Description
- Ma 2004 Chapter 11.1-2.
Project 2. Projective Reconstruction (three weeks)
Keywords 3D, calibration, projection
- Ma 2004 Chapter (5)-6.
- Ma 2004 Chapter 11.3.
Project 3. Euclidean Reconstruction
- Ma 2004 Chapter 10. Partial Scene Knowledge
- Ma 2004 Chapter 11.4.
Project 4. Visualisation
Keywords texture, visualisation
- Ma 2004 Chapter 11.5.
