Large-Scale Semantic 3D Reconstruction: an Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling

Maros Blaha; Christoph Vogel; Audrey Richard; Jan  Wegner; Konrad  Schindler; Thomas Pock

doi:10.1109/CVPR.2016.346

Large-Scale Semantic 3D Reconstruction: an Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling

Maros Blaha, Christoph Vogel, Audrey Richard, Jan Wegner, Konrad Schindler, Thomas Pock

Institut für Maschinelles Sehen und Darstellen (7100)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband

Originalsprache	englisch
Titel	Computer Vision and Pattern Recognition
Herausgeber (Verlag)	IEEE Computer Society
Seiten	3176-3184
Seitenumfang	9
ISBN (elektronisch)	978-1-4673-8851-1
DOIs	https://doi.org/10.1109/CVPR.2016.346
Publikationsstatus	Veröffentlicht - 2016
Veranstaltung	CVPR 2018: 2018 IEEE Conference on Computer Vision and Pattern Recognition - Salt Lake City, USA / Vereinigte Staaten Dauer: 18 Jun 2018 → 22 Jun 2018

Konferenz

Konferenz	CVPR 2018
Land	USA / Vereinigte Staaten
Ort	Salt Lake City
Zeitraum	18/06/18 → 22/06/18

Zugriff auf Dokument

10.1109/CVPR.2016.346

LargeScale3DSEndgültige, publizierte Fassung, 3,57 MB

Supplementary Material

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Large-Scale Semantic 3D Reconstruction: an Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling. / Blaha, Maros; Vogel, Christoph; Richard, Audrey; Wegner, Jan ; Schindler, Konrad ; Pock, Thomas.

Computer Vision and Pattern Recognition. IEEE Computer Society, 2016. S. 3176-3184.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband

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