# Dual-fisheye lens stitching for 360-degree imaging

arXiv: https://arxiv.org/abs/1708.08988 · HTML: https://mlsanity.com/paper/1708.08988/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Aug 2017.

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

- [Review on Panoramic Imaging and Its Applications in Scene Understanding](https://mlsanity.com/paper/2205.05570/) (2022)
- [Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Cameras](https://mlsanity.com/paper/2103.17001/) (2021)
- [Direct Triangulation with Spherical Projection for Omnidirectional Cameras](https://mlsanity.com/paper/2206.03928/) (2022)
- [Reflex-Based Open-Vocabulary Navigation without Prior Knowledge Using Omnidirectional Camera and Multiple Vision-Language Models](https://mlsanity.com/paper/2408.11380/) (2024)
- [EPIC: Epipolar-Consistent 360deg Immersive Stereo Video Generation](https://mlsanity.com/paper/2609.38689/) (2026)

## Abstract (arXiv)

Dual-fisheye lens cameras have been increasingly used for 360-degree immersive imaging. However, the limited overlapping field of views and misalignment between the two lenses give rise to visible discontinuities in the stitching boundaries. This paper introduces a novel method for dual-fisheye camera stitching that adaptively minimizes the discontinuities in the overlapping regions to generate full spherical 360-degree images. Results show that this approach can produce good quality stitched images for Samsung Gear 360 -- a dual-fisheye camera, even with hard-to-stitch objects in the stitching borders.