Computer Vision II: Multiple View Geometry (IN2228)
Course 0000002061 in SS 2023
General Data
| Course Type | lecture with integrated exercises |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Lecturers |
Björn Häfner Lukas Köstler Haoang Li Assistants: Viktoria Ehm Daniil Sinitsyn Sergei Solonets |
| Dates |
Wed, 12:00–14:00, Interims I 102 Wed, 16:00–18:15, Interims I 102 Thu, 11:00–12:00, MI HS1 |
Assignment to Modules
-
IN2228: Computer Vision II: Multiple View Geometry / Computer Vision II: Multiple View Geometry
This module is included in the following catalogs:- Catalogue of non-physics elective courses
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | 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. https://vision.in.tum.de/teaching/ss2022/mvg2022 |
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| Links |
Course documents E-Learning course (e. g. Moodle) TUMonline entry |