Adapting Computer Vision Algorithms for Omnidirectional Video
This work is incremental, offering guidance for researchers and practitioners working with immersive video technologies.
The paper addresses the challenges of applying computer vision algorithms to omnidirectional video, such as equirectangular projection and large image sizes, by providing a high-level overview and outlining adaptation strategies.
Omnidirectional (360°) 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.