Scalable 6-DOF Localization on Mobile Devices

Sven Middelberg, Torsten Sattler, Ole Untzelmann, Leif Kobbelt
13th European Conference on Computer Vision (ECCV'14)

Recent improvements in image-based localization have produced powerful methods that scale up to the massive 3D models emerging from modern Structure-from-Motion techniques. However, these approaches are too resource intensive to run in real-time, let alone to be implemented on mobile devices. In this paper, we propose to combine the scalability of such a global localization system running on a server with the speed and precision of a local pose tracker on a mobile device. Our approach is both scalable and drift-free by design and eliminates the need for loop closure. We propose two strategies to combine the information provided by local tracking and global localization. We evaluate our system on a large-scale dataset of the historic inner city of Aachen where it achieves interactive framerates at a localization error of less than 50cm while using less than 5MB of memory on the mobile device.



The final publication will be available at link.springer.com upon publication.
» Show BibTeX

@inproceedings{middelberg2014eccv,
author = "Middelberg, Sven and Sattler, Torsten and Untzelmann, Ole and Kobbelt, Leif",
title = "{Scalable 6-DOF Localization on Mobile Devices}",
booktitle = "{Proceedings of the 13th European Conference on Computer Vision (ECCV'14)}",
year = 2014
}




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