Copyright © 2017 Europe NOW. All Rights Reserved. Designed by CITY Creative Studio .
Research & Innovation Business & Finance Health & Medicine Politics, Law & Society Arts & Entertainment Education & DIY Events Military & Defense Exploration & Mining Mapping & Surveillance Enviro. & Agriculture Aerial Automotive Industrial Automation Consumer & Household Space
Description: A crucial issue in Photogrammetry and Computer Vision is image network orientation, ., estimating camera attitudes and positions for a set of images. Whereas the problem can be considered solved for small-scales instances, dealing with a large number of images calls for efficiency and scalability, which are addresses by synchronization. The goal of synchronization (of direct isometries) is to recover the absolute orientation of a number of 3D reference frames, starting from a redundant set of relative orientations. This problem finds application in structure from motion, SLAM, registration of 3D point sets and sensor network localization. Synchronization methods work in frame-space (as opposed to point-space, like bundle adjustment) and are global, for they consider simultaneously all the relative information. For these reasons, they have gained increasing attention especially in the Computer Vision and Automatic Control communities. This tutorial will provide a comprehensive introduction to synchronization and describe some solution methods, focusing on closed-form matrix formulations.
There are no comments at the moment, do you want to add one?
Cyrill Stachniss - University of Bonn, Germany : Andrea Fusiello - University of Udine, Italy : Ronny Haensch - TU Berlin, Germany : Mozhdeh Shahbazi ...