| id |
ecaade2024_196 |
| authors |
Futamura, Soushi; Fukuda, Tomohiro; Yabuki, Nobuyoshi |
| year |
2024 |
| title |
The Advancement in Web-Based Mixed Reality Systems: A multi-user perspective sharing for future landscape studies |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.2.119
|
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 119–128 |
| summary |
The use of mixed reality (MR) shows potential for facilitating smoother consensus-building processes. However, conventional MR systems face the challenge of synchronizing changes to 3D models across multiple devices. To address this issue, a proposed solution is to establish a server PC that all devices can connect to. This allows for the sharing of the MR space, including 3D models, among the devices. In MR systems used for landscape assessments, the 3D model data displayed can become extensive, leading to increased processing load for MR rendering. To address this issue, a proposed solution is to perform MR rendering on the server PC. Additionally, to improve communication in the shared MR space, the user's sharing gaze direction is being considered. However, using this technology in outdoor environments presents challenges. This paper presents a system that enables real-time sharing of MR images and location information, including gaze direction, among mobile devices. The system allows users to view the MR images of others, facilitating the exchange of opinions even from remote locations. The prototype system was verified for real-time performance and confirmed to display combined MR images of self and others and map images, at approximately 10 frames per second. The study contributes to improving communication among stakeholders and facilitates effective decision-making in landscape assessments. |
| keywords |
Mixed Reality (MR), Landscape Visualization, Collaborative System, Markerless Position Estimation, Gaze Sharing, Outdoor MR Assessments |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (856,660 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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