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abstract

TwinCam: omni-directional stereoscopic live viewing camera for reducing motion blur during head rotation

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Published:30 July 2017Publication History

ABSTRACT

We developed an omni-directional stereoscopic live viewing camera (TwinCam) system to reduce the motion blur and latency during head rotation of a remote user wearing a head mounted display (HMD). The TwinCam system consists of two omni-directional live cameras (THETA S, Ricoh), rotation mechanisms with a motor, an image control PC, and an HMD. The camera base rotates synchronously with the azimuth angle of the HMD that the observer is wearing, while each camera lens is at a constant azimuth angle. This camera configuration greatly reduces image flow on the CMOS image sensor in the camera, and eventually, the motion blur on the HMD screens when the HMD rotates. The apparent image latency during the head rotation is minimized by the buffered image. A user study demonstrated that both reduced motion blur and compensated latency were effective in reducing the virtual reality (VR) sickness symptoms.

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References

  1. Amit Agrawal, Yi Xu, and Ramesh Raskar. 2009. Invertible Motion Blur in Video. ACM Trans. Graph. 28, 3, Article 95 (July 2009), 8 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Robert S. Kennedy, Norman E. Lane, Kevin S. Berbaum, and Michael G. Lilienthal. 1993. Simulator Sickness Questionnaire: An Enhanced Method for Quantifying Simulator Sickness. The International Journal of Aviation Psychology 3 (1993), 203--220.Google ScholarGoogle ScholarCross RefCross Ref

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  1. TwinCam: omni-directional stereoscopic live viewing camera for reducing motion blur during head rotation

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        • Published in

          cover image ACM Conferences
          SIGGRAPH '17: ACM SIGGRAPH 2017 Emerging Technologies
          July 2017
          51 pages
          ISBN:9781450350129
          DOI:10.1145/3084822

          Copyright © 2017 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 30 July 2017

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          Overall Acceptance Rate1,822of8,601submissions,21%

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