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 (08.08.2022-11.08.2022)
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: | 08.08.2022-11.08.2022 |
| 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 |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum