PanoFlex: Adaptive panoramic vision to accommodate 360° Field-of-view for humans

Feng Liang, Stevanus Kevin, Kai Kunze, Yun Suen Pai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose PanoFlex, an adaptive method for projecting panoramic vision using a dynamic distortion method based on eye gaze. We stream real-time video from a 360° camera and project the view on a plane to the user. The user controls the distortion of this equirectangular projection using eye gaze. For our first user study, we compare our method with conventional equirectangular projection considering the impact on spatial perception. For our second study, we perform a simulator sickness evaluation when the user performs regular daily activities. We found that PanoFlex did not carry any significant negative impact towards the user's spatial perception, perceived task load, and simulator sickness compared to the more conventional equirectangular view.

Original languageEnglish
Title of host publicationProceedings - VRST 2019
Subtitle of host publication25th ACM Symposium on Virtual Reality Software and Technology
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450370011
DOIs
Publication statusPublished - 2019 Nov 12
Event25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019 - Sydney, Australia
Duration: 2019 Nov 122019 Nov 15

Publication series

NameProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST

Conference

Conference25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019
CountryAustralia
CitySydney
Period19/11/1219/11/15

Keywords

  • 360 degree vision
  • Projections
  • Visual augmentation

ASJC Scopus subject areas

  • Software

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  • Cite this

    Liang, F., Kevin, S., Kunze, K., & Pai, Y. S. (2019). PanoFlex: Adaptive panoramic vision to accommodate 360° Field-of-view for humans. In S. N. Spencer (Ed.), Proceedings - VRST 2019: 25th ACM Symposium on Virtual Reality Software and Technology [3364767] (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST). Association for Computing Machinery. https://doi.org/10.1145/3359996.3364767