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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 Tracking Features
13 Standup Continue with Tracking Features
14 SIFT
15 Tracking Features 2
16? SIFT Consider to move on to Chapter 5.

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

Chapter 5. Projective Reconstruction (two weeks ?)

# Topic Reading Keywords
16? Relative Pose Ma 2004:Ch 5.1 Relative Pose.
17 Eight-point algorithm Ma 2004:Ch 5.2
18 Planar Scenes Ma 2004:Ch 5.3
19 Continuous Motion Ma 2004:Ch 5.4

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

# Topic Reading Keywords
20 Ma 2004:Ch 6
21 Ma 2004:Ch 6
22
23

More (Tentative

# Topic Reading Keywords
24 Ma 2004:Ch 11
25 Ma 2004:Ch 11
26 Tentative Seminar: Applications TBA TBC - we may decide to move on to feature tracking
27
28
  1. Ma 2004 Chapter 10. Partial Scene Knowledge
    • This is referenced as a building block in Chapter 11.
  2. Ma 2004 Chapter 11.4.
  3. Ma 2004 Chapter 11.5. Keywords texture, visualisation