Real-Time Variational Range Image Fusion and Visualization for Large-Scale Scenes Using GPU Hash Tables

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2018
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European Union (EU): 336978
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LIA - Light Field Imaging and Analysis
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2018 IEEE Winter Conference on Applications of Computer Vision (WACV). Piscataway, New Jersey: IEEE, 2018, pp. 912-920. ISBN 978-1-5386-5189-6. Available under: doi: 10.1109/WACV.2018.00105
Zusammenfassung

We present a real-time pipeline for large-scale 3D scene reconstruction from a single moving RGB-D camera together with interactive visualization. Our approach combines a time and space efficient data structure capable of representing large scenes, a local variational update algorithm and a visualization system. The environment's structure is reconstructed by integrating the depth image of each camera view into a sparse volume representation using a truncated signed distance function, which is organized via a hash table. Noise from real-world data is efficiently eliminated by immediately performing local variational refinements on newly integrated data. The whole pipeline is able to perform in real-time on consumer-available hardware and allows for simultaneous inspection of the currently reconstructed scene.

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004 Informatik
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Image reconstruction, Real-time systems, Graphics processing units, Three-dimensional displays, Pipelines, Octrees, Data visualization
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2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 12. März 2018 - 15. März 2018, Lake Tahoe, USA
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Zitieren
ISO 690MARNIOK, Nico, Bastian GOLDLÜCKE, 2018. Real-Time Variational Range Image Fusion and Visualization for Large-Scale Scenes Using GPU Hash Tables. 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). Lake Tahoe, USA, 12. März 2018 - 15. März 2018. In: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). Piscataway, New Jersey: IEEE, 2018, pp. 912-920. ISBN 978-1-5386-5189-6. Available under: doi: 10.1109/WACV.2018.00105
BibTex
@inproceedings{Marniok2018RealT-42779,
  year={2018},
  doi={10.1109/WACV.2018.00105},
  title={Real-Time Variational Range Image Fusion and Visualization for Large-Scale Scenes Using GPU Hash Tables},
  isbn={978-1-5386-5189-6},
  publisher={IEEE},
  address={Piscataway, New Jersey},
  booktitle={2018 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  pages={912--920},
  author={Marniok, Nico and Goldlücke, Bastian}
}
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