NDLI: A Scalable Collaborative Online System for City Reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Untzelmann, O. Sattler, T. Middelberg, S. Kobbelt, L.
Copyright Year	2013
Description	Author affiliation: RWTH Aachen Univ., Aachen, Germany (Untzelmann, O.; Sattler, T.; Middelberg, S.; Kobbelt, L.)
Abstract	Recent advances in Structure-from-Motion and Bundle Adjustment allow us to efficiently reconstruct large 3D scenes from millions of images. However, acquiring the imagery necessary to reconstruct a whole city and not only its landmark buildings still poses a tremendous problem. In this paper, we therefore present an online system for collaborative city reconstruction that is based on crowdsourcing the image acquisition. Employing publicly available building footprints to reconstruct individual blocks rather than the whole city at once enables our system to easily scale to large urban environments. In order to map all partial reconstructions into a single coordinate frame, we develop a robust alignment scheme that registers the individual point clouds to their corresponding footprints based on GPS coordinates. Our approach can handle noise and outliers in the GPS positions and allows us to detect wrong alignments caused by the typical issues in the context of crowdsourcing applications such as malicious or improper image uploads. Furthermore, we present an efficient rendering method to obtain dense and textured views of the resulting point clouds without requiring costly multi-view stereo methods.
Starting Page	644
Ending Page	651
File Size	1375090
Page Count	8
File Format	PDF
ISBN	9781479930227
DOI	10.1109/ICCVW.2013.89
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-02
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Buildings Collaboration Cities and towns Cameras Image reconstruction Global Positioning System
Content Type	Text
Resource Type	Article

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