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

Doula, Achref ; Güdelhöfer, Tobias ; Matviienko, Andrii ; Mühlhäuser, Max ; Sanchez Guinea, Alejandro (2022):
Immersive-Labeler: Immersive Annotation of Large-Scale 3D Point Clouds in Virtual Reality.
In: Proceedings SIGGRAPH 2022: Posters,
ACM, SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, Canada, 08.-11.08.2022, ISBN 978-1-4503-9361-4,
DOI: 10.1145/3532719.3543249,
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2022
Creators: Doula, Achref ; Güdelhöfer, Tobias ; Matviienko, Andrii ; Mühlhäuser, Max ; Sanchez Guinea, Alejandro
Title: Immersive-Labeler: Immersive Annotation of Large-Scale 3D Point Clouds in Virtual Reality
Language: English
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.

Book Title: Proceedings SIGGRAPH 2022: Posters
Publisher: ACM
ISBN: 978-1-4503-9361-4
Uncontrolled Keywords: emergenCITY_INF
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Event Title: SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference
Event Location: Vancouver, Canada
Event Dates: 08.-11.08.2022
Date Deposited: 06 Sep 2022 15:42
DOI: 10.1145/3532719.3543249
PPN: 49894865X
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