Virtual view specification and synthesis for free viewpoint television

  • Authors:
  • Wenfeng Li;Jin Zhou;Baoxin Li;M. Ibrahim Sezan

  • Affiliations:
  • Department of Computer Science and Engineering, Arizona State University, Tempe, AZ;Department of Computer Science and Engineering, Arizona State University, Tempe, AZ;Department of Computer Science and Engineering, Arizona State University, Tempe, AZ;Sharp Laboratories of America, Inc., Camas, WA

  • Venue:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Year:
  • 2009

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Abstract

Free viewpoint television (FTV) is a new concept that aims at giving viewers the flexibility to select a novel viewpoint by employing multiple video streams as the input. Current proposed solutions for FTV include those based on rayspace resampling which demand at least dozens of cameras and large storage and transmission resources for those video streams. Image-based rendering (IBR) methods that rely on dense depth map estimation also face practical difficulties since accurate depth map estimation remains a challenging problem. This paper proposes a framework for FTV based on IBR that relieves the need for an accurate depth map by introducing a hybrid virtual view synthesis method. The framework also includes an intuitive method for virtual view specification in uncalibrated views. We present both simulation and real data experiments to validate the proposed framework and the component algorithms.