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

Marniok, Nico; Goldlücke, Bastian

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

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2018

Autor:innen

Marniok, Nico

Goldlücke, Bastian

DOI (zitierfähiger Link)

https://doi.org/10.1109/WACV.2018.00105

EU-Projektnummer

336978

Projekt

LIA - Light Field Imaging and Analysis

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen 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

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.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Image reconstruction, Real-time systems, Graphics processing units, Three-dimensional displays, Pipelines, Octrees, Data visualization

Konferenz

2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 12. März 2018 - 15. März 2018, Lake Tahoe, USA

Zitieren

ISO 690

MARNIOK, 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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Universitätsbibliographie

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