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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.
SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference. Vancouver, Canada (08.-11.08.2022)
doi: 10.1145/3532719.3543249
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Doula, Achref ; Güdelhöfer, Tobias ; Matviienko, Andrii ; Mühlhäuser, Max ; Sanchez Guinea, Alejandro
Art des Eintrags: Bibliographie
Titel: Immersive-Labeler: Immersive Annotation of Large-Scale 3D Point Clouds in Virtual Reality
Sprache: Englisch
Publikationsjahr: 25 Juli 2022
Verlag: ACM
Buchtitel: Proceedings SIGGRAPH 2022: Posters
Veranstaltungstitel: SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference
Veranstaltungsort: Vancouver, Canada
Veranstaltungsdatum: 08.-11.08.2022
DOI: 10.1145/3532719.3543249
Kurzbeschreibung (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.

Freie Schlagworte: emergenCITY_INF
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Hinterlegungsdatum: 06 Sep 2022 15:42
Letzte Änderung: 27 Okt 2022 09:44
PPN: 49894865X
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