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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

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

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News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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 ===== SS 2019, TU München ===== ===== SS 2019, TU München =====
 +
 +
 +== News ==
 +  * June 6, 2019: There has been a minor change in the formulation of exercise 1b,c on Sheet 4, Part II to make it consistent with Part I.
 +
 +== Registration ==
 +If you plan to attend, please register for the course in [[https://campus.tum.de/tumonline/wbLv.wbShowLVDetail?pStpSpNr=950403235|TUMonline]].\\
 +Later during the semester you will have to register for the exam.
 +
 +== Lecture ==
 +** Time and Location:**\\
 +Wednesday 12:30 - 14:00, Interims Hörsaal 2 (5620.01.102)\\
 +Thursday 11:15 - 12:00, MI Hörsaal 1 (5602.EG.001)\\
 +** Lecturer:** [[members:cremers|Prof. Dr. Daniel Cremers]]\\
 +** Start:** Thursday, May 2, 2019\\
 +\\
 +The lecture is held in English. \\ 
 +
 +
 +== Exercises ==
 +** Location:** Interims Hörsaal 2 (5620.01.102)\\
 +** Time:** Wednesday, 16:00 - 18:15\\
 +** Organization:** [[members:brahimi]], [[members:schubert]]\\
 +(If you have any questions please email to: [[mvg-ss19@vision.in.tum.de|mvg-ss19@vision.in.tum.de]])\\
 +** Start:** Wednesday, May 15, 2019\\
 +
 +Exercises are split into a theoretical and a practical part. Due to the high number of students, the practical part of the tutorial will also take place in the Interims Hörsaal, which requires students to bring a laptop. If this is not possible, students can also use the computers in room 02.05.014, which is reserved during the tutorial, but can be used at any other time if there are free computers. Don't forget to get login credentials from the tutors in case you are planning to do so.
 +
 +== 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.
 +
 +  * MATLAB tutorial: http://campar.in.tum.de/twiki/pub/Chair/TeachingWs13TDCV/MATLABWorkshop.pdf
 +  * MATLAB cheatsheet: http://web.mit.edu/18.06/www/Spring09/matlab-cheatsheet.pdf
 +  * MATLAB on your own computer: http://matlab.rbg.tum.de
 +  * We don't use much beyond core MATLAB functionality. You may need the Image Processing Toolbox for reading and displaying images.
 +
 +
 +**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 to compute motion and 3D structure. A
 +particular emphasis of the lecture is on mathematical descriptions of rigid
 +body motion and of 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 [[teaching:ss2019:mvg2019:material|here]]. We will provide the password in the tutorial sessions. Alternatively, for password requests, please contact [[mvg-ss19@vision.in.tum.de|us]] using your TUM email address.
 +
 +== Lecture Videos ==
 +You can find [[http://www.youtube.com/playlist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4 | recordings of a previous iteration of this course]] on Youtube.
 +
 +== Literature ==
 +Yi Ma, Stefano Soatto, Jana Kosecka, Shankar S. Sastry. [[http://vision.ucla.edu/MASKS/|An Invitation to 3-D Vision]]

Rechte Seite

Informatik IX
Computer Vision Group

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

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More