---
title: Lecture Notes - AIS2204 Maskinsyn
categories: Module
---

# Chapter 1-2. Introduction and 3D Modelling (two weeks)


| # | Session Notes | Reading | Keywords |
|---|---------------|-------------------|-----------------------------|
| 1 | [Introduction]() | Ma 2004:Ch 1 (Ch 2.1 and 2.3)  | Practical matters. Software installation. Reap of linear algebra. |
| 2 | [3D Modelling]() | Ma 2004:Ch 2, App A (SZ 2) | 3D modelling, motion |
| 3 | [3D Objects in Python]() | Tutorials | 3D Transformations in Python |
| 4 | [3D Modelling Part II]() | | Velocity transformations.  Recap.  Questions. | 

# Chapter 3. Image Formation (two weeks)

| # | Topic  | Reading | Keywords |
|---|---------------|-------------------|-----------------------------|
| 5 | [Image Formation]()    | Ma 2004:Ch 3-3.3.1 (SZ 6) | projection, lens/camera |
| 6 | [Camera Calibration]() | Ma 2004:Ch 3.3-3.3.3 | Calibration, Radial Distortion etc. |
| 7 | [More Camera Mathematics]() | Ma 2004:Ch 3.3-3.4 | Radial Distortion, Tangential Distortion |

# Chapter 4. Feature Tracking (three weeks)

| # | Topic  | Reading | Keywords |
|---|---------------|-------------------|-----------------------------|
| 8 | [Corner Detection]() | Ma 2004:Ch 4.3, 4.A (SZ 4) | Calculate Gradient.  Harris Feature Detector. |
| 9 | [Corner Detection]() continued | | |
| 10 | [Tracking Features]() |  Ma 2004:Ch 4-4.2 | Tracking of Features. Tracking of Edges. |
| 11 | [Edges]() | Ma 2004:Ch 4.4 | |
| 12 | *Self-Study* | Continue with [Tracking Features]() |
| 13 | *Standup* | Continue with [Tracking Features]() |
| 14 | [SIFT]() | | |
| 15 | [Tracking Features 2]() | |
| 16 | [SIFT]() | | Feature Matching.  Feature Descriptor. |

*Note* Session 12 was planned Self-Study due to staff seminar.
Session 13-14 became self-study because of sick leave.

*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 ?)

| # | Topic  | Reading | Keywords |
|---|---------------|-------------------|-----------------------------|
| 17 | [Relative Pose]() | Ma 2004:Ch 5.1 | Triangulation. Relative Pose. Essential Matrix. |
| 18 | [Eight-point algorithm]() | Ma 2004:Ch 5.2 | Calculate Essential Matrix |
| 19 | [Planar Scenes]()| Ma 2004:Ch 5.3 | |
| 20 | [Continuous Motion]() | Ma 2004:Ch 5.4 | |

# Chapter 6.  Reconstruction from two Uncalibrated views (two weeks)

| # | Topic  | Reading | Keywords |
|---|---------------|-------------------|-----------------------------|
| 21 |  | Ma 2004:Ch 6 |  |
| 22 |  | Ma 2004:Ch 6 | |
| 23 |  |  | |
| 24 |  |  | |


# More (Tentative

| # | Topic  | Reading | Keywords |
|---|---------------|-------------------|-----------------------------|
| 25 |  | Ma 2004:Ch 11 |  |
| 26 |  | Ma 2004:Ch 11 | |
| 27 | Tentative Seminar: Applications | TBA | **TBC** - we may decide to move on to feature tracking |
| 28 |  |  | |

1. Ma 2004 Chapter 10.  Partial Scene Knowledge
    - This is referenced as a building block in Chapter 11.
1. Ma 2004 Chapter 11.4.
1. Ma 2004 Chapter 11.5.  **Keywords** texture, visualisation