用3D高斯点阵重建实验室龙卷风三维结构
Reconstructing Tornadoes in 3D with Gaussian Splatting
- 用3D高斯点阵技术重建龙卷风三维形态
- 首次发布多视角小型实验龙卷风数据集
- 为气象灾害建模提供新工具，适合气象与视觉研究者
准确重建龙卷风的三维结构对理解与应对这一破坏性极强的天气现象至关重要。尽管现代三维场景重建技术如3D高斯点阵（3DGS）可为龙卷风三维结构重建提供有力工具，但目前缺乏可控的龙卷风数据集来开发和验证这些方法。本文捕获并发布了首个小型实验室龙卷风的多视角数据集，并证明可有效利用3DGS重建并可视化该龙卷风的三维结构。
原文摘要 · Abstract (English)
Accurately reconstructing the 3D structure of tornadoes is critically important for understanding and preparing for this highly destructive weather phenomenon. While modern 3D scene reconstruction techniques, such as 3D Gaussian splatting (3DGS), could provide a valuable tool for reconstructing the 3D structure of tornados, at present we are critically lacking a controlled tornado dataset with which to develop and validate these tools. In this work we capture and release a novel multiview dataset of a small lab-based tornado. We demonstrate one can effectively reconstruct and visualize the 3D structure of this tornado using 3DGS.
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