Course pages 2015–16
Computer Vision
- Supplementary slides used in lectures 1 - 2 (PDF)
- Supplementary slides used in lectures 3 - 8 (PDF)
- Supplementary slides used in lectures 9 - 13 (PDF)
- Supplementary slides used in lectures 14 - 16 (PDF)
- Concatenation of all Supplementary slides (126 pages, PDF)
- Lecture Notes (in 1-up A4 format),
or here is a
2-up version of Lecture Notes
(formatted better for laptops).
- Exercises with embedded solutions
- Practicals (developed by L Swirski, C Richardt, and
T Baltrusaltis)
- Supplementary demonstrations
(PPT) of mathematical operations in early vision. (Slide credits to: C Town, A Torralba, D Forsyth,
K Grauman, B Macq, S Seitz, L Lazebnik, M Irani, B Leibe, A Poonawala, D Lowe)
- Weekly study guide
- (28 Jan 2016): Exercises 1 - 5, and Practicals 1 & 2 (on edge detection and other early vision operations).
- Examples Class during part of 4 Feb lecture.
- (4 Feb 2016): Exercises 6 - 9.
- (11 Feb 2016): Exercises 10 - 13.
- Examples Class during part of 18 Feb lecture.
- (18 Feb 2016): Exercises 14 - 18.
You may enjoy this collection of dynamic, colour, and cognitive illusions. - (25 Feb 2016): Exercises 19 - 22.
- (3 Mar 2016): Exercises 23 - 27.
View this 5-minute video about 3-D morphable face representations. Here is a background paper about face recognition, and here is a recent paper about the big breakthrough (2015) in face recognition using the "deep learning" approach of FaceNet.- Final Examples Class and revision lecture on Tuesday 26 April, 12:00 in Lecture Theatre 2.
- (28 Jan 2016): Exercises 1 - 5, and Practicals 1 & 2 (on edge detection and other early vision operations).