The N-Sand Table, a multi-user interactive virtual sand table system based on Neural Radiance Fields (NeRF) technology, is proposed to address the issues of weak interactivity, severe standalone operation, difficulty in constructing map models, and challenges in meeting multi-user remote planning needs prevalent in traditional virtual sand tables. Utilizing NeRF technology with real-world image data, this system creates highly realistic virtual sand tables and employs intelligent algorithms to dynamically adjust the terrain, achieving a high degree of user customization and interactivity. Moreover, the system enhances user interaction convenience by supporting multi-channel interactions through gestures and voice, and facilitates real-time remote interaction among multiple users. Experimental results demonstrate the system's excellent performance in terms of interaction real-time and stability, effectively supporting multi-user remote collaborative planning.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

N-Sand Table: A Multi-user Interactive Virtual Sand Table Based on NeRF Technology

  • Xinlei Zhang,
  • Jiahui Yu,
  • Chenchen Gong,
  • Danming Huang,
  • Yuxiang Sun,
  • Xianzhong Zhou

摘要

The N-Sand Table, a multi-user interactive virtual sand table system based on Neural Radiance Fields (NeRF) technology, is proposed to address the issues of weak interactivity, severe standalone operation, difficulty in constructing map models, and challenges in meeting multi-user remote planning needs prevalent in traditional virtual sand tables. Utilizing NeRF technology with real-world image data, this system creates highly realistic virtual sand tables and employs intelligent algorithms to dynamically adjust the terrain, achieving a high degree of user customization and interactivity. Moreover, the system enhances user interaction convenience by supporting multi-channel interactions through gestures and voice, and facilitates real-time remote interaction among multiple users. Experimental results demonstrate the system's excellent performance in terms of interaction real-time and stability, effectively supporting multi-user remote collaborative planning.