Guardado en:
| Autores principales: | , , , , , , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2506.18677 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866912565335949312 |
|---|---|
| author | Yang, Adam Kadawedduwa, Nadula Wang, Tianfu Sharma, Sunny Wisinski, Emily F. Pérez-Carrasquilla, Jhayron S. Hall, Kyle J. C. Calhoun, Dean Starfeldt, Jonathan Canty, Timothy P. Molina, Maria Metzler, Christopher |
| author_facet | Yang, Adam Kadawedduwa, Nadula Wang, Tianfu Sharma, Sunny Wisinski, Emily F. Pérez-Carrasquilla, Jhayron S. Hall, Kyle J. C. Calhoun, Dean Starfeldt, Jonathan Canty, Timothy P. Molina, Maria Metzler, Christopher |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_18677 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Reconstructing Tornadoes in 3D with Gaussian Splatting Yang, Adam Kadawedduwa, Nadula Wang, Tianfu Sharma, Sunny Wisinski, Emily F. Pérez-Carrasquilla, Jhayron S. Hall, Kyle J. C. Calhoun, Dean Starfeldt, Jonathan Canty, Timothy P. Molina, Maria Metzler, Christopher Computer Vision and Pattern Recognition 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. |
| title | Reconstructing Tornadoes in 3D with Gaussian Splatting |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2506.18677 |