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Lecture Notes - AIS2204 Maskinsyn

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 exercises

Chapter 5. Projective Reconstruction (two weeks ?)

# Topic Reading Keywords
13 Relative Pose Ma 2004:Ch 5 Relative Pose.
14 Eight-point algorithm Ma 2004:Ch 5
15 Ma 2004:Ch 11.3

Ideas

# Topic Reading Keywords
8 Tentative Seminar: Applications TBA TBC - we may decide to move on to feature tracking

Project 3. Euclidean Reconstruction

  1. Ma 2004 Chapter 10. Partial Scene Knowledge
  2. 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.