Topic Name Description
Introduction to the Class File Course Introduction
File Human Vision
From World to Images File Image Formation
URL Computer Vision: Algorithms and Applications. Chapter 2.1
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

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
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)
Texture File Texture
URL The Discrete Fourier Transform: Bracewell, chapter 11.
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

Shape from Stereo File Shape from Stereo
URL Computer Vision: Algorithms and Applications. Chapter 12.

Szeliski's book

Shape from Contours File Shape from Contours

Shape from Contours

File Nerfs
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 GE1 2023 - solution
File GE1 2023
Exercise session 4 File Exercise Session 4
Exercise Session 5 File Exercise Session 5
Exercise Session 7 File Exercise Session 7
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