在XR中的辐射场:关于如何在XR研究中设想和解决辐射场的调查
IEEE transactions on visualization and computer graphics
|October 2, 2025
概括
辐射场 (RF),就像3D高斯喷射和神经辐射场一样,为XR提供了潜力. 这项调查分析了RF RF.
科学领域:
- 计算机视觉和图形学
- 扩展现实 (XR)
背景情况:
- 辐射场 (RF),如3D高斯喷射 (3DGS) 和神经辐射场 (NeRF) 具有先进的光现实视图合成.
- 尽管RF发展迅速,但它们与扩展现实 (XR) 研究和应用的整合是有限的.
研究的目的:
- 系统地调查RF文献,并确定XR贡献中的差距.
- 分析XR中RF的预想中的应用,实施和研究缺口.
- 在更广泛的射频景观中定位XR特定的射频研究.
主要方法:
- 进行了对XR相关的365个RF贡献的系统文献调查.
- 分析了66篇精选的论文,详细介绍了XR应用的射频研究.
- 在计算机视觉,图形,机器人,HCI和XR领域进行分类贡献.
主要成果:
- 确定了一个稀疏但不断增长的射频研究机构,专门针对XR.
- 详细介绍了RF在各种XR用例中是如何设想和实施的.
- 突出了XR中RF的关键研究缺口和未来方向.
结论:
- 射频具有显著的,但在很大程度上尚未开发的XR革命潜力.
- 本调查提供了一个结构化的概述和资源,用于导航XR的射频研究.
- 需要进一步的跨学科努力来弥合RF进步和XR实施之间的差距.
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