Virtual Reality Point Cloud Annotation

被引:4
作者
Franzluebbers, Anton [1 ]
Li, Changying [1 ]
Paterson, Andrew [1 ]
Johnsen, Kyle [1 ]
机构
[1] Univ Georgia, Athens, GA 30602 USA
来源
2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022) | 2022年
关键词
Human-centered computing; Virtual Reality; Computing methodologies; Virtual Reality Computing methodologies; Point-based models;
D O I
10.1109/VRW55335.2022.00294
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This work presents an immersive headset-based virtual reality visualization and annotation system for point clouds, oriented towards application on laser scans of plants. The system can be used to paint regions or individual points with fine detail, even with large, dense point clouds. A non-immersive desktop interface was designed for comparison within the same application. A within-subjects user study (N=16) was conducted to compare these interfaces for annotation and counting tasks. Results showed a strong preference for the immersive virtual reality interface, likely as a result of perceived and actual significant differences in task performance.
引用
收藏
页码:881 / 882
页数:2
相关论文
共 4 条
[1]  
Kreylos O, 2008, LECT NOTES COMPUT SC, V5358, P846, DOI 10.1007/978-3-540-89639-5_81
[2]  
Li E, 2020, IEEE INT VEH SYM, P1108, DOI 10.1109/IV47402.2020.9304562
[3]  
Schütz M, 2019, 2019 26TH IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR), P103, DOI [10.1109/VR.2019.8798284, 10.1109/vr.2019.8798284]
[4]  
Wirth F, 2019, IEEE INT VEH SYM, P1693, DOI 10.1109/IVS.2019.8814115