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===== SS 2019, TU München ===== | ===== SS 2019, TU München ===== | ||
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+ | == News == | ||
+ | |||
+ | |||
+ | == Registration == | ||
+ | If you plan to attend, please register for the course in [[https:// | ||
+ | Later during the semester you will have to register for the exam. | ||
+ | |||
+ | == Lecture == | ||
+ | ** Location:** Room 02.09.023\\ | ||
+ | ** Time and Date:**\\ | ||
+ | \\ | ||
+ | \\ | ||
+ | ** Lecturer:** [[members: | ||
+ | ** Start:**\\ | ||
+ | \\ | ||
+ | The lecture is held in English. \\ | ||
+ | |||
+ | |||
+ | == Exercises == | ||
+ | ** Location:** Interims Hörsaal 1 (5620.01.101)\\ | ||
+ | ** Time and Date:** Monday 14:00 - 16:00\\ | ||
+ | ** Organization: | ||
+ | (If you have any questions please email to: [[mvg-ss19@vision.in.tum.de|mvg-ss19@vision.in.tum.de]])\\ | ||
+ | ** Start:** Monday, April 29, 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' | ||
+ | |||
+ | * MATLAB tutorial: http:// | ||
+ | * MATLAB cheatsheet: http:// | ||
+ | * MATLAB on your own computer: http:// | ||
+ | * 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:// | ||
+ | |||
+ | |||
+ | == 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: | ||
+ | |||
+ | == Lecture Videos == | ||
+ | You can find [[http:// | ||
+ | |||
+ | == Literature == | ||
+ | Yi Ma, Stefano Soatto, Jana Kosecka, Shankar S. Sastry. [[http:// |