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Immersive-Labeler: Immersive Annotation of Large-Scale 3D Point Clouds in Virtual Reality

Published: 25 July 2022 Publication History

Editorial Notes

The authors have requested minor, non-substantive changes to the VoR and, in accordance with ACM policies, a Corrected VoR was published on September 1, 2022. For reference purposes the VoR may still be accessed via the Supplemental Material section on this page.

Abstract

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.

Supplementary Material

3543249-VoR (3543249-vor.pdf)
Version of Record for "Immersive-Labeler: Immersive Annotation of Large-Scale 3D Point Clouds in Virtual Reality" by Doula et al., SIGGRAPH '22: ACM SIGGRAPH 2022 Posters.

References

[1]
Florian Wirth, Jannik Quehl, Jeffrey Ota, and Christoph Stiller. 2019. Pointatme: efficient 3d point cloud labeling in virtual reality. In 2019 IEEE Intelligent Vehicles Symposium (IV). IEEE, 1693–1698.
[2]
Walter Zimmer, Akshay Rangesh, and Mohan Trivedi. 2019. 3d bat: A semi-automatic, web-based 3d annotation toolbox for full-surround, multi-modal data streams. In 2019 IEEE Intelligent Vehicles Symposium (IV). IEEE, 1816–1821.

Cited By

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  • (2024)Annorama: Enabling Immersive At-Desk Annotation Experiences in Virtual Reality with 3D Point Cloud DioramasProceedings of the 2024 ACM Symposium on Spatial User Interaction10.1145/3677386.3682081(1-13)Online publication date: 7-Oct-2024
  • (2024)ViewPCGC: View-Guided Learned Point Cloud Geometry CompressionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681225(7152-7161)Online publication date: 28-Oct-2024
  • (2024)AnnotateXR: An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision ApplicationsJournal of Computing and Information Science in Engineering10.1115/1.4066180(1-13)Online publication date: 7-Aug-2024
  • Show More Cited By

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Published In

cover image ACM Conferences
SIGGRAPH '22: ACM SIGGRAPH 2022 Posters
July 2022
132 pages
ISBN:9781450393614
DOI:10.1145/3532719
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 25 July 2022

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

View all
  • (2024)Annorama: Enabling Immersive At-Desk Annotation Experiences in Virtual Reality with 3D Point Cloud DioramasProceedings of the 2024 ACM Symposium on Spatial User Interaction10.1145/3677386.3682081(1-13)Online publication date: 7-Oct-2024
  • (2024)ViewPCGC: View-Guided Learned Point Cloud Geometry CompressionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681225(7152-7161)Online publication date: 28-Oct-2024
  • (2024)AnnotateXR: An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision ApplicationsJournal of Computing and Information Science in Engineering10.1115/1.4066180(1-13)Online publication date: 7-Aug-2024
  • (2024)Adaptive LPU Decision for Dynamic Point Cloud CompressionIEEE Signal Processing Letters10.1109/LSP.2024.344922631(2370-2374)Online publication date: 2024
  • (2024)Immersive visualisation of point cloud data of railway environments2024 10th International Conference on Virtual Reality (ICVR)10.1109/ICVR62393.2024.10868576(233-239)Online publication date: 24-Jul-2024
  • (2024)3D dataset generation using virtual reality for forest biodiversityInternational Journal of Digital Earth10.1080/17538947.2024.242298417:1Online publication date: 3-Nov-2024
  • (2024)An immersive labeling method for large point cloudsComputers & Graphics10.1016/j.cag.2024.104101124(104101)Online publication date: Nov-2024
  • (2023)DensingQueen: Exploration Methods for Spatial Dense Dynamic DataProceedings of the 2023 ACM Symposium on Spatial User Interaction10.1145/3607822.3614535(1-12)Online publication date: 13-Oct-2023
  • (2023)PointCloudLab: An Environment for 3D Point Cloud Annotation with Adapted Visual Aids and Levels of Immersion2023 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA48891.2023.10160225(11640-11646)Online publication date: 29-May-2023

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