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Live collaborative large-scale dense 3D reconstruction using consumer-grade hardware

Abstract:

We present a real-time system for collaboratively reconstructing dense volumetric models of large 3D scenes (see Figure 1). Reconstructing such models is important for many tasks – e.g. content creation for films and games [10], augmented reality [19], cultural heritage preservation [21] and building information modelling [14] – but capturing large scenes can take significant time, and the risk of transient changes to the scene (e.g. people moving around) goes up as the capture time increases...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1109/ISMAR-Adjunct.2018.00122

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Institution:
University of Oxford
Division:
Medical Sciences Division
Role:
Author
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
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Publisher:
IEEE Publisher's website
Pages:
413-414
Publication date:
2019-04-29
Acceptance date:
2018-06-08
DOI:
Pubs id:
pubs:999461
URN:
uri:97f130fc-18de-4c59-8493-789ad89b70b1
UUID:
uuid:97f130fc-18de-4c59-8493-789ad89b70b1
Local pid:
pubs:999461
ISBN:
9781538675922

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