Optimal pixel aspect ratio for enhanced 3D TV visualization

  • Authors:

  • Hossein Azari;Irene Cheng;Kostas Daniilidis;Anup Basu

  • Affiliations:

  • Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada;Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada;Department of Computer and Information Science, University of Pennsylvania, Philadelphia, USA;Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2012

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Abstract

In multiview 3D TV, a pair of corresponding pixels in adjacent 2D views contributes to the reconstruction of voxels (3D pixels) in the 3D scene. We analyze this reconstruction process and determine the optimal pixel aspect ratio based on which the estimated object position can be improved given specific imaging or viewing configurations and constraints. By applying mathematical modeling, we deduce the optimal solutions for two general stereo configurations: parallel and with vergence. We theoretically show that for a given total resolution a finer horizontal resolution, compared to the usual uniform pixel distribution, in general, provides a better 3D visual experience for both configurations. The optimal value may vary depending on different configuration parameter values. We validate our theoretical results by conducting subjective studies using a set of simulated non-square discretized red-blue stereo pairs and show that human observers indeed have a better 3D viewing experience with an optimized vs. a non-optimized representation of 3D-models.