Virtual view synthesis using multi-view video sequences

  • Authors:
  • Il-Lyong Jung;Taeyoung Chung;Kwanwoong Song;Chang-Su Kim

  • Affiliations:
  • School of Electrical Engineering, Korea University, Seoul, Korea;School of Electrical Engineering, Korea University, Seoul, Korea;School of Electrical Engineering, Korea University, Seoul, Korea;School of Electrical Engineering, Korea University, Seoul, Korea

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

A virtual view synthesis algorithm using multi-view video sequences, which inherits the advantages of both the forward warping and the inverse warping, is proposed in this work. First, we use the inverse warping to synthesize a virtual view without holes from the nearest two views. Second, we detect occluded regions in the synthesized view based on the uniqueness constraint. Then, we refine the occluded regions using the information in the farther views based on the forward warping technique. Simulation results demonstrate that the proposed algorithm provides significantly higher PSNR performances than the conventional inverse warping scheme.