Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich



Computer Vision II: Multiple View Geometry (IN2228)

Offered in Hybrid Format in SS 2022, TU München

  • No lecture class on 04.05. The first exercise will be released on 04.05. Therefore, the first exercise class on 04.05, 16:00-17:00, will be a logistics Q and A.
  • Lectures are streamed live: All the lectures are streamed live on RGB. Consider attending online.
  • First class: The first class will take place on 28.04.2022, 11:00-12:00 in 00.02.001, Friedrich L. Bauer Hörsaal (5602.EG.001) in Mathematik und Informatik building.
  • First tutorial class: The first tutorial class will take place on 04.05.2022, 16:00-18:15, "Interims I" Hörsaal 2 (5620.01.102).

If you plan to attend, please register for the course in TUMonline.
Later during the semester, you will have to register for the exam.


All the lectures and exercise classes will be recorded and streamed automatically. Watch them Live on RGB by logging in with your TUM account.

Time and Location:
Wednesday 12:00 - 14:00, "Interims I" Hörsaal 2 (5620.01.102)
Thursday 11:00 - 12:00, MI Hörsaal 1 (5602.EG.001)
Lecturer: Prof. Dr. Daniel Cremers
Start: Thursday, 28.04.2022

The lecture is held in English.


Location: "Interims I" Hörsaal 2 (5620.01.102)
Time: Wednesday, 16:00 - 18:15
Organization: Simon Weber, Tarun Yenamandra
(If you have any questions please email to: mvg-ss22@vision.in.tum.de)
Start: Wednesday, 04.05.2022

Exercises are split into theoretical and practical parts.


The programming exercises are done in MATLAB. You don't need extensive prior MATLAB knowledge. If you have never used MATLAB before, we recommend following a basic tutorial. Please install MATLAB on your laptop before the first exercise using the university's student licenses.

Note on MATLAB version:

We suggest you to use a MATLAB version 2016b or later. For the solutions we make use of function definitions inside Matlab script files. This feature was added only in 2016b. So if you have an earlier version, we suggest you to upgrade (alternatively you can move all function definitions to separate files). See also https://de.mathworks.com/help/matlab/matlab_prog/local-functions-in-scripts.html.


The lecture introduces the basic concepts of image formation - perspective projection and camera motion. The goal is to reconstruct the three-dimensional world and the camera motion from multiple images. To this end, one determines correspondences between points in various images and respective constraints that allow computing motion and 3D structure. A particular emphasis of the lecture is on mathematical descriptions of rigid body motion and perspective projection. For estimating camera motion and 3D geometry we will make use of both spectral methods and methods of nonlinear optimization.

Lecture Material

Slides and exercises can be downloaded here.

Lecture Videos

Yi Ma, Stefano Soatto, Jana Kosecka, Shankar S. Sastry. An Invitation to 3-D Vision (use your TUM-ID to login to Springer Link)

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group



In April 2022 Jürgen Sturm, Christian Kerl and Daniel Cremers were featured among the top 10 most influential scholars in robotics of the last decade.


We have open PhD and postdoc positions! To apply, please use our application form.


We have six papers accepted to CVPR 2022 in New Orleans!


We have two papers accepted to ICRA 2022 - congrats to Lukas von Stumberg, Qing Cheng and Niclas Zeller!