This class will be taught at the University of Kiel. The goal is to provide students with the mathematical background and computer vision algorithms for automated scene reconstructions from camera images, starting from correspondences, projective geometry and view relations, but extending to sparse and dense reconstruction and applications.
Due to the Corona situation, in summer term 2020 this course will be held online.
This lecture will be taught during fall/winter semesters at FH Kiel. It is a combined lecture + lab, where you will learn about cameras and machine vision, in particular how to measure and to track the position and orientation of a camera and how we can digitally reconstruct the environment for marine mapping or for augmented and virtual reality applications. During the lab you will develop the steps for "structure from motion" using OpenCV. The lecture is intended for computer science master students.
These slides are kindly provided by Anne Jordt and Kevin Köser for educational purposes. You are welcome to download the slides of the tutorial from this web site for non-commercial, personal use, but not to repost it on any other web site. Please post a link to this URL instead.
Additionally, we ask you to make sure you also retain all copyright and other proprietary notices contained on the materials.