Description
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.
| Date made available | 10 Apr 2025 |
|---|---|
| Publisher | Zenodo |
Field of science, Statistics Finland
- 113 Computer and information sciences
Research output
- 1 Conference contribution
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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. (eds.). Springer, p. 3-17 (Lecture Notes in Computer Science; vol. 15726 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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