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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
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

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.
Links Course documents
E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

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