# Adapting Computer Vision Algorithms for Omnidirectional Video

arXiv: https://arxiv.org/abs/1907.09233 · HTML: https://mlsanity.com/paper/1907.09233/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Jul 2019.

## Built on by (most cited first, 2 of 2)

- [PICCOLO: Point Cloud-Centric Omnidirectional Localization](https://mlsanity.com/paper/2108.06545/) (2021)
- [Hyper360 -- a Next Generation Toolset for Immersive Media](https://mlsanity.com/paper/2108.00430/) (2021)

## Abstract (arXiv)

Omnidirectional (360deg) video has got quite popular because it provides a highly immersive viewing experience. For computer vision algorithms, it poses several challenges, like the special (equirectangular) projection commonly employed and the huge image size. In this work, we give a high-level overview of these challenges and outline strategies how to adapt computer vision algorithm for the specifics of omnidirectional video.