Conference item
Live collaborative large-scale dense 3D reconstruction using consumer-grade hardware
- Abstract:
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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
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- Files:
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(Accepted manuscript, pdf, 4.3MB)
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- Publisher copy:
- 10.1109/ISMAR-Adjunct.2018.00122
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Authors
Funding
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Journal website
- Pages:
- 413-414
- Host title:
- 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
- Publication date:
- 2019-04-29
- Acceptance date:
- 2018-06-08
- DOI:
- Source identifiers:
-
999461
- ISBN:
- 9781538675922
Item Description
- Pubs id:
-
pubs:999461
- UUID:
-
uuid:97f130fc-18de-4c59-8493-789ad89b70b1
- Local pid:
- pubs:999461
- Deposit date:
- 2019-06-17
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2019
- Notes:
- Copyright © 2018 IEEE. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/ISMAR-Adjunct.2018.00122
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