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Immersive-Labeler: Immersive Annotation of Large-Scale 3D Point Clouds in Virtual Reality
Technical University of Darmstadt, Germany.
Technical University of Darmstadt, Germany.
Technical University of Darmstadt, Germany.ORCID iD: 0000-0002-6571-0623
Technical University of Darmstadt, Germany.
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2022 (English)In: SIGGRAPH '22: ACM SIGGRAPH 2022 Posters, ACM Digital Library, 2022, p. 1-2Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

We present Immersive-Labeler, an environment for the annotation of large-scale 3D point cloud scenes of urban environments. Our concept is based on the full immersion of the user in a VR-based environment that represents the 3D point cloud scene while offering adapted visual aids and intuitive interaction and navigation modalities. Through a user-centric design, we aim to improve the annotation experience and thus reduce its costs. For the preliminary evaluation of our environment, we conduct a user study (N=20) to quantify the effect of higher levels of immersion in combination with the visual aids we implemented on the annotation process. Our findings reveal that higher levels of immersion combined with object-based visual aids lead to a faster and more engaging annotation process.

Place, publisher, year, edition, pages
ACM Digital Library, 2022. p. 1-2
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-329518DOI: 10.1145/3532719.3543249ISI: 001117984200053Scopus ID: 2-s2.0-85136195250OAI: oai:DiVA.org:kth-329518DiVA, id: diva2:1772106
Conference
SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Posters, Vancouver BC, Canada, August 7 - 11, 2022
Note

QC 20230627

Available from: 2023-06-21 Created: 2023-06-21 Last updated: 2025-12-05Bibliographically approved

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Matviienko, Andrii

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf