Topic Name Description
Introduction to the Class File Course Introduction
URL Video lecture
From World to Images File Introduction to the Human Visual System
File Image Formation
URL Computer Vision: Algorithms and Applications. Chapter 2.1
URL Video Lecture Part 1
URL Video Lecture Part 2
URL Video Lecture Part 3
URL Video Lecture Part 4
Edge Detection File Edge Detection
URL Computer Vision: Algorithms and Applications. Chapter 7.2.

Szeliski's book
File Deep Learning
URL Computer Vision: Algorithms and Applications. Chapters 5.3 and 5.4.

Szeliski's book
URL Video Lecture Part 1
URL Video Lecture Part 2
URL Video Lecture Part 3
URL Video Lecture Part 4
Delineation File Delineation
URL Computer Vision: Algorithms and Applications. Chapters 7.3.

Szeliski's book
URL Level Set Methods: An Overview
URL Deformable Models for Cartographic Modeling
URL Video Lecture Part 1
URL Video Lecture Part 2
Segmentation File Segmentation

Image segmentation handouts
URL Computer Vision: Algorithms and Applications. Chapter 7.5.

Szeliski's book
URL Transformers in Natural Language Processing (NLP)
URL Video Lecture Part 1
URL Video Lecture Part 2
Texture File Texture
URL The Discrete Fourier Transform: Bracewell, chapter 11.
URL Video Lecture
Shape from Shading and Texture File Shape from Shading
File Shape from Texture
URL Computer Vision: Algorithms and Applications. Chapter 13.1.

Szeliski's book
URL Video Lecture - Part 1
URL Video Lecture - Part 2
Shape from Stereo File Shape from Stereo
URL Computer Vision: Algorithms and Applications. Chapter 12.

Szeliski's book
URL Video Lecture - Part 1
URL Video Lecture - Part 2
Shape from Contours File Shape from Contours

Shape from Contours
URL Video Lecture - Part 1
URL Video Lecture - Part 2
Shape from Motion File Shape from Motion

Shape from Motion
URL Computer Vision: Algorithms and Applications. Chapter 11.4.

Szeliski's book
URL Video lecture
Vision Applications File 3D Surface Modeling (optional)
Summary File Conclusion
URL Video Lecture - Recap
Exercise session 1 File Exercise Session 1
File Exercise Session 1 with solutions
File Python support material
Exercise session 2 File Exercise session 2
File Exercise Session 2 Answers
Graded exercise 1 - mock sample File Edge Detection and Delineation

Applying dijkstra to edge detection and delineation problem
File Circular Hough Transform
Graded Exercise 1 File GE1
File GE1 - Solutions
Exercise session 4 File Exercise Session 4
File Exercise Session 4 Answers
Exercise Session 5 File Exercise Session 5
File Exercise Session 5 Answers
Graded Exercise 2 File GE2
File GE2 - Solutions
Exercise Session 6 File Exercise Session 6
File Exercise Session 6 Answers
Mock Exam Folder Mock Exam 2020

Please find attached the mock exam to assist you in preparing for the final exam. In the real exam there will be 32 multiple choice questions and a text question. Multiple choice questions can have one or more correct answers. We will provide the solution to the mock exam later.
File Mock Exam 2021
File Mock Exam Answers 2021