3D Reconstruction from Full-view Fisheye Camera
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Abstract (arXiv)
In this report, we proposed a 3D reconstruction method for the full-view fisheye camera. The camera we used is Ricoh Theta, which captures spherical images and has a wide field of view (FOV). The conventional stereo apporach based on perspective camera model cannot be directly applied and instead we used a spherical camera model to depict the relation between 3D point and its corresponding observation in the image. We implemented a system that can reconstruct the 3D scene using captures from two or more cameras. A GUI is also created to allow users to control the view perspective and obtain a better intuition of how the scene is rebuilt. Experiments showed that our reconstruction results well preserved the structure of the scene in the real world.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Jun 2015.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 0; 2025: 1.
5 papers.
- 2025Self-Calibrating Gaussian Splatting for Large Field of View Reconstructioncited by 11
- 2023Self-supervised Interest Point Detection and Description for Fisheye and Perspective Imagescited by 3
- 2022Surround-View Cameras based Holistic Visual Perception for Automated Drivingcited by 2
- 2021Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depthcited by 0
- 20223D scene reconstruction from monocular spherical video with motion parallaxcited by 0
- 2025Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction13 Feb 2025
- 2023Self-supervised Interest Point Detection and Description for Fisheye and Perspective Images2 Jun 2023
- 20223D scene reconstruction from monocular spherical video with motion parallax14 Jun 2022
- 2022Surround-View Cameras based Holistic Visual Perception for Automated Driving11 Jun 2022
- 2021Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth30 Dec 2021