# 3D Reconstruction from Full-view Fisheye Camera

arXiv: https://arxiv.org/abs/1506.06273 · HTML: https://mlsanity.com/paper/1506.06273/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Jun 2015.

## Built on by (most cited first, 5 of 5)

- [Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction](https://mlsanity.com/paper/2502.09563/) (2025)
- [Self-supervised Interest Point Detection and Description for Fisheye and Perspective Images](https://mlsanity.com/paper/2306.01938/) (2023)
- [Surround-View Cameras based Holistic Visual Perception for Automated Driving](https://mlsanity.com/paper/2206.05542/) (2022)
- [Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth](https://mlsanity.com/paper/2112.14931/) (2021)
- [3D scene reconstruction from monocular spherical video with motion parallax](https://mlsanity.com/paper/2206.06533/) (2022)

## 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.