Kuvaus
Please refer to the project page. https://parmisian.github.io/fiord360.github.io/
Our dataset contains still fisheye images of 5 indoor and 5 outdoor environments, captured by an Insta360 RS-One Inch camera mounted on a tripod. Sample images from the types of scenes available can be seen above. You can also get an idea about the dimensions of the scenes from our paper. The dataset also includes two types of point clouds for each scene: the sparse point cloud generated via Structure-from-Motion (SfM) and the dense point cloud captured with a Faro LIDAR scanner.
Our dataset contains still fisheye images of 5 indoor and 5 outdoor environments, captured by an Insta360 RS-One Inch camera mounted on a tripod. Sample images from the types of scenes available can be seen above. You can also get an idea about the dimensions of the scenes from our paper. The dataset also includes two types of point clouds for each scene: the sparse point cloud generated via Structure-from-Motion (SfM) and the dense point cloud captured with a Faro LIDAR scanner.
| Koska saatavilla | 10 huhtik. 2025 |
|---|---|
| Julkaisija | Zenodo |
Field of science, Statistics Finland
- 113 Tietojenkäsittely ja informaatiotieteet
Tutkimustuotos
- 1 Konferenssiartikkeli
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FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking
Gunes, U., Turkulainen, M., Ren, X., Solin, A., Kannala, J. & Rahtu, E., 2025, Image Analysis: 23rd Scandinavian Conference, SCIA 2025, Reykjavik, Iceland, June 23–25, 2025, Proceedings, Part II. Petersen, J. & Dahl, V. A. (toim.). Springer, s. 3-17 (Lecture Notes in Computer Science; Vuosikerta 15726 LNCS).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Tietoaineistot
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Hall_In Indoor Scene for FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking
Gunes, U. (Creator), Zenodo, 9 huhtik. 2025
DOI - pysyväislinkki: 10.5281/zenodo.15182116, https://parmisian.github.io/fiord360.github.io/
Tietoaineisto: Dataset
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Road_Out Outdoors Scene for Paper FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking
Gunes, U. (Creator), Zenodo, 9 huhtik. 2025
DOI - pysyväislinkki: 10.5281/zenodo.15182334, https://parmisian.github.io/fiord360.github.io/
Tietoaineisto: Dataset
Siteeraa tätä
- DataSetCite