Topic Name Description
Graded Exercise 1 File Graded Exercise 1 - Image Segmentation
File Graded Exercise 1 - Solution
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
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
Segmentation File Segmentation

Image segmentation handouts
URL Computer Vision: Algorithms and Applications. Chapter 6.4.

Szeliski's book
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
File Nerfs
URL Computer Vision: Algorithms and Applications. Chapter 12.

Szeliski's book
Shape from Contours File Shape from Contours

Shape from Contours
File Deep Surfaces
Shape from Motion File Shape from Motion

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

Szeliski's book
Vision Applications File Body and Garment Motion Capture (Optional)
Summary File Conclusion
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
Exercise session - Eye tracking File Exercise Solutions - Eye Tracking
Graded exercise 1 - mock sample File GE1 2023 - solution
File GE1 2023
Exercise Session 5 File Exercise Session 5
File Exercise Session 5 Answers
Graded Exercise 2 File GE2 2025 Answer
Exercise Session 7 File Exercise Session 7
File Exercise Session 7 Answers
Example Exam File Exam 2024
File Exam 2023
File Exam 2023 Answer