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As-built Industrial Scene Reconstruction based on Photogrammetry and Prior-Knowledge for Extended Reality Scenarios

  • Technische Universität München

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

This paper proposes approaches for reconstructing a scene in the process industries based on photogrammetry. The focus is on preprocessing steps making the model available as a virtual scene for several tasks in maintenance like off-site maintenance planning or revamping. For this purpose, it proposes a pipeline built upon current methods of photogrammetry, change-detection in scene reconstructions, and prior-knowledge-based meshing and segmentation methods. Then it outlines the evaluation process. Finally, it discusses future research directions and possible issues of the concept.

OriginalspracheEnglisch
TitelProceedings - 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten480-482
Seitenumfang3
ISBN (elektronisch)9781665412988
DOIs
PublikationsstatusVeröffentlicht - 2021
Veranstaltung20th IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021 - Virtual, Online, Italien
Dauer: 4 Okt. 20218 Okt. 2021

Publikationsreihe

NameProceedings - 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021

Konferenz

Konferenz20th IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021
Land/GebietItalien
OrtVirtual, Online
Zeitraum4/10/218/10/21

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