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

Linda Rudolph, Gudrun Klinker

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages480-482
Number of pages3
ISBN (Electronic)9781665412988
DOIs
StatePublished - 2021
Event20th IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021 - Virtual, Online, Italy
Duration: 4 Oct 20218 Oct 2021

Publication series

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

Conference

Conference20th IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021
Country/TerritoryItaly
CityVirtual, Online
Period4/10/218/10/21

Keywords

  • Mixed / augmented reality
  • Reconstruction

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