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Correcting geometric distortions in stereoscopic 3D imaging

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  • Zhongpai Gao
  • Alex Hwang
  • Guangtao Zhai
  • Eli Peli

Abstract

Motion in a distorted virtual 3D space may cause visually induced motion sickness. Geometric distortions in stereoscopic 3D can result from mismatches among image capture, display, and viewing parameters. Three pairs of potential mismatches are considered, including 1) camera separation vs. eye separation, 2) camera field of view (FOV) vs. screen FOV, and 3) camera convergence distance (i.e., distance from the cameras to the point where the convergence axes intersect) vs. screen distance from the observer. The effect of the viewer’s head positions (i.e., head lateral offset from the screen center) is also considered. The geometric model is expressed as a function of camera convergence distance, the ratios of the three parameter-pairs, and the offset of the head position. We analyze the impacts of these five variables separately and their interactions on geometric distortions. This model facilitates insights into the various distortions and leads to methods whereby the user can minimize geometric distortions caused by some parameter-pair mismatches through adjusting of other parameter pairs. For example, in postproduction, viewers can correct for a mismatch between camera separation and eye separation by adjusting their distance from the real screen and changing the effective camera convergence distance.

Suggested Citation

  • Zhongpai Gao & Alex Hwang & Guangtao Zhai & Eli Peli, 2018. "Correcting geometric distortions in stereoscopic 3D imaging," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-28, October.
  • Handle: RePEc:plo:pone00:0205032
    DOI: 10.1371/journal.pone.0205032
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