---
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 Mathematics]() | Ma 2004:Ch 3.3-3.4        | Calibration, Radial Distortion etc. |
| 7 | [Distortion in Practice]() | [Calibration in OpenCV](https://docs.opencv.org/master/dc/dbb/tutorial_py_calibration.html) | Radial Distortion, Tangential Distortion |
| 8 | [Programming with OpenCV]() | ?? | videos, **TBD** |

+ Session 5-8
    - Projection from 3D to 2D image
    - Calibrate camera

# Chapter 4. Feature Tracking (two weeks)

**Keywords** Signal Processing, 2D

| # | Topic  | Reading | Keywords |
|---|---------------|-------------------|-----------------------------|
| 1 | [Corner Detection]() | Ma 2004:Ch 4.3, 4.A (SZ 4) | Calculate Gradient.  Harris Feature Detector. |
| 2 | [Corner Detection in Python]() | 
| 3 | [Tracking Features]() | Ma 2004:Ch 4-4.2 | Tracking of Features. Tracking of Edges. |
| 4 | [Tracking Features in Python]() |


+ OpenCV/Python Tutorial
    - Background: [Understanding Features](https://docs.opencv.org/master/df/d54/tutorial_py_features_meaning.html)
    - [Harris Corner Detection](https://docs.opencv.org/master/dc/d0d/tutorial_py_features_harris.html)
    - Overview
      [Feature Detection and Description](https://docs.opencv.org/master/db/d27/tutorial_py_table_of_contents_feature2d.html)
+ Ma 2004 Chapter 11.1-2.


# Chapter 5.  Projective Reconstruction (two weeks)

**Keywords** 3D, projection

## 2-1

+ Ma 2004 Chapter 5

1. The Epipolar plain
1.  Eight-point algorithm

## 2-2

1. Ma 2004 Chapter 5

## 2-3

1. Ma 2004 Chapter 11.3.

# Project 3.  Euclidean Reconstruction

1. Ma 2004 Chapter 10.  Partial Scene Knowledge
1. Ma 2004 Chapter 11.4.

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

**Keywords** 3D, calibration, projection

# Chapter 11. System Architecture (one week?)

# Visualisation (one week?)

**Keywords** texture, visualisation

1. Ma 2004 Chapter 11.5.

# Chapter 10.  Partial Scene Knowledge (one week?)

This is referenced as a building block in Chapter 11.