TSBB33 3D Computer Vision
This course covers the algorithms and estimation problems used to infer 3D structure from images. The course covers both the mathematics used, and how these are put into practice in algorithm implementation. The course features two computer labs, and a 3hp project where groups of participants together will implement a structure from motion system. The project is presented both in written form and orally at a seminar. The course ends with a written exam on the theoretical content.
General Information
- Course syllabus
Course syllabus can be found in the Study guide.
- Schedule
The course schedule in TimeEdit.
- Literature
- K. Nordberg, Introduction to Representations and Estimation in Geometry (IREG). [Book webpage]
- R. Szeliski, Computer Vision, Algorithms and Applications
(CVAA).
Available as an on-campus e-book via the LiU library. [Book webpage] - R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (HZ), on-campus e-book
- Additional material, including information about the exam, can be found in the course repository.
- Another recent book that may interest you (we will not use this
one in the course):
K. Ikeuchi, Computer Vision, a Reference Guide, on-campus e-book.
People
 |
 |
| Per-Erik Forssén Lectures, Examiner |
Mårten Wadenbäck Lectures |
 |
 |
 |
 |
| Justus Karlsson Supervisor |
Cuong Le Supervisor |
Ioannis Athanasiadis Supervisor, Labs |
Johannes Hägerlind Supervisor, Labs |
Lecture Schedule VT2026
Below is an up-to-date list of all staffed lectures and
computer labs.
Additional, unstaffed computer lab time can be
found in TimeEdit.
Lectures and labs are given in rooms at the Department of Electrical Engineering.
Lectures are given in Systemet and Transformen, and the labs are given in Asgård, Vippan, Egypten, SU04, and SU24.
Note that the lecture slides that are linked in the schedule below are from last year. They will be updated after each lecture.
| Date,Time,Room | Activity | Teacher | Literature |
|---|---|---|---|
|
March 30: 10.15-12 Systemet |
Lecture 1 Introduction, 3D perception, local features |
Per-Erik Forssén |
CVAA: 7.1 Background geometry: IREG ch. 7-9,13 |
|
March 31: 13.15-15 Systemet |
Lecture 2 Cost minimisation, and robust error norms |
Per-Erik Forssén | K. Madsen, NL Least Squares Tutorial Z. Zhang, Parameter Est. Techniques, Ch. 9. |
|
April 7: 13.15-15 Transformen |
Lecture 3 Maximum likelihood, RANSAC, cameras and epipolar geometry |
Mårten Wadenbäck | Multi-dim course, first half. Also IREG: 17.3 (RANSAC). |
|
April 7: 15.15-17.00 Asgård |
CE1 Non-linear optimization and gold standard |
Unstaffed. | CE1 Lab sheet |
|
April 9: 8.15-10 Transformen |
Lecture 4 Multiview stereo, correspondence fields, and triangulation |
Per-Erik Forssén | Furukawa MVS-tutorial, PatchMatch paper IREG: 10.4, CVAA: 12.1, 12.3 Jump Flooding paper |
|
April 13: 10.15-12 Systemet |
Lecture 5 Structure from motion, bundle adjustment, and project start |
Per-Erik Forssén | IREG: 15.1,15.12 (3D alignment), 21 (SfM) CVAA: 8.1.5, 8.3.1 (3D alignment), 11 (SfM) |
|
April 14: 13.15-17.00 SU04 |
CE1 Non-linear optimization and gold standard |
Ioannis Athanasiadis Johannes Hägerlind |
CE1 Lab sheet |
|
April 16: 8.15-10 Systemet |
Lecture 6 Absolute and relative camera pose, and minimal cases |
Mårten Wadenbäck | CVAA: 8.1.5, 11.2 IREG: ch. 15 |
|
April 17: 15.15-17 Asgård |
CE2 Dense Correspondences with PatchMatch |
Unstaffed. |
CE2 Lab sheet Skeleton code Cheatsheet notebook |
|
April 21: 13.15-17 Asgård |
CE2 Dense Correspondences with PatchMatch |
Ioannis Athanasiadis Johannes Hägerlind |
CE2 Lab sheet Skeleton code Cheatsheet notebook |
|
April 20: 10.15-12 Transformen |
Lecture 7 Rotations in 3D |
Mårten Wadenbäck | IREG: ch. 11 |
|
April 28: 13.15-17 Asgård |
CE1/CE2 Extra checkup. |
Ioannis Athanasiadis Johannes Hägerlind |
|
|
May 11: 10.15-11 Systemet |
Guest Lecture 1 Vantor, Linköping |
Amanda Berg | |
|
May 11: 11.15-12 Systemet |
Guest Lecture 2 Spiideo, Linköping |
Ludwig Jacobsson | |
|
May 19: 13.15-17 Systemet |
Final Seminar Project presentations, exam discussion, and wrap up |
Per-Erik Forssén |
3D reconstruction project
Half the course consists of a 3D reconstruction project. The project starts on April 13, and ends with a final seminar on May 19. The project builds on top of the two computer exercises.
For more information see the project description page.