Name
Abstract | ||
|---|---|---|
In this study, to enable a VR experience with an HMD even in a space with obstacles, we developed a real-time construction system of a reality-based VR space that does not impair the atmosphere of the virtual world. In addition, we aim to construct a VR space that is easier to recognize its structure by classifying "objects that are boundaries of space" and "ordinary obstacles" using a deep learning network and superimposing virtual objects corresponding to each type of real object. We implemented a real-time construction system for a VR space that reflects the distribution of objects in a real space using two depth cameras mounted on HMD, and created guidelines and applications for using the proposed system. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/VRW52623.2021.00262 | 2021 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2021) |
Keywords | DocType | Citations |
Human-centered computing-Virtual Reality-Procedural Generation, Human-centered computing-Real Walking Locomotion Obstacle Avoidance, Human-centered computing-Deep Learning-Segmentation | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naoki Matsuo | 1 | 0 | 0.34 |
| Masataka Imura | 2 | 85 | 18.80 |