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Computer Vision II: Multiple View Geometry (IN2228)

Offered in Hybrid Format in SS 2022, TU München

Registration

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

Lecture

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 12:15 - 13:45, "Interims I" Hörsaal 2 (5620.01.102)
Thursday 11:00 - 11:45, MI Hörsaal 1 (5602.EG.001)
Lecturer: Prof. Dr. Daniel Cremers
Start: Thursday, 28.04.2022

The lecture is held in English.

Exercises

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.

MATLAB

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.

Summary

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.

Literature

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 Computer Vision Group

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

News

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023.

31.08.2022

Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.

17.07.2022

MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.

17.07.2022

AI Symposium

On July 22nd 2022, we are organizing a Symposium on AI within the Technology Forum of the Bavarian Academy of Sciences.

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