Modulcode: | infMPUwVi |
Englische Bezeichnung: | Master project - Underwater Vision |
Modulverantwortliche(r): | Prof. Dr. Kevin Köser |
Turnus: | unregelmäßig (WS23/24 SS24) |
Präsenzzeiten: | 4PÜ |
ECTS: | 10 |
Workload: | 300 Std. Projektarbeit, davon 60 Std. betreut |
Dauer: | ein Semester |
Modulkategorien: | MSc-Inf-Proj (MSc Inf (21)) |
Lehrsprache: | Englisch |
Voraussetzungen: |
This master project provides the opportunity to apply and deepen theoretical knowledge from computer vision or robotics to a concrete practical problem. At the start of the semester students will pick concrete projects, for which they work together through the semester in small teams to achieve the goals.
Students will train to work in a team, to analyze the requirements for a practrical project and to plan the steps to achieve the goals. They will also learn to tackle a complex problem in computer vision or robotics and the use of large software libraries.
Deepening the understanding of computer vision methods or robotic perception approaches using practical problems from the field of underwater vision. Projects will vary for each semester. Check https://www.marine.informatik.uni-kiel.de for updated information.
This master project targets students that have ideally completed the classes "Introduction to Image Processing"/"3D Computer Vision" or "Probabilistic Robotics" or those that have equivalent knowledge such that they understand how to use images or other robotic sensor data.
Presentations including demonstration, report and the completed software system (incl. documentation).
project work
https://szeliski.org/Book/ https://colmap.github.io/ Probabilistic Robotics Book (only from vpn/university network): https://ebookcentral.proquest.com/lib/christianalbrechts/detail.action?docID=6246533
There are only few seats available in this course. Please contact Kevin Köser directly by email (kk@informatik.uni-kiel.de) in case you are interested. Approval is mandatory before registering for the class. First meeting will take place on a Wednesday afternoon at the beginning of the semester. Check https://www.marine.informatik.uni-kiel.de for updated information.