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Adapting Computer Vision Algorithms for Omnidirectional Video

Digital
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Contributing authors of JOANNEUM RESEARCH:
DI Hannes Fassold
Authors
Fassold, Hannes
Abstract:
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.
Title:
Adapting Computer Vision Algorithms for Omnidirectional Video
Seiten:
1026 - 1028
Publikationsdatum
2019-10

Publikationsreihe

Adress
New York, USA
Proceedings
Proceedings of the 27th ACM International Conference on Multimedia
More files and links
Jahr/Monat:
2019
Bibtex Download

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