Multi-View Stereoscopic Image Synthesis Algorithm for 3DTV

  • Hyunjun Choi
  • Youngho Seo
  • Jisang Yoo
  • Dongwook Kim
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 235)

Abstract

In this paper, we propose a multi-view stereoscopic image synthesis algorithm for 3DTV system using depth information with an RGB texture from a depth camera. The proposed algorithm synthesizes multi-view images which a virtual convergence camera model could generate. To furnish the motion parallax cue in each synthesized view, spatial and rotational transformation techniques were applied to foreground layer, and a new occlusion filling process was applied to both the foreground and background layers, as well. To add a stereoscopic depth cue to each synthesized view as a reference (left), we also generate a corresponding right view based on a virtual parallel camera model. Experimental results showed that the performance of the proposed algorithm is better than those of conventional methods.

Keywords

Multi-view synthesis Stereoscopic image Depth image based rendering (DIBR) Occlusion processing 

Notes

Acknowledgments

This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (MEST) (NRF-2011-0026667) and the IT R&D program of MKE/KEIT. [KI002058, Signal Processing Elements and their SoC Developments to Realize the Integrated Service System for Interactive Digital Holograms].

References

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    Puri A, Kollarits RV, Haskell BG (1997) Basics of stereoscopic video, new compression results with MPEG-2 and a proposal for MPEG-4, signal processing. Image Commun 10:201–234Google Scholar
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    Fehn C (2003) A 3D-TV system based on video plus depth information. In: Conference record of the thirty-seventh Asilomar conference on signals, systems and computers 2003, vol 11, pp 1529–1533Google Scholar
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    Zhang L, Tam WJ (2005) Stereoscopic image generation based on depth images for 3D TV. IEEE Trans Broadcast 51(6):191–199CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Hyunjun Choi
    • 1
  • Youngho Seo
    • 2
  • Jisang Yoo
    • 2
  • Dongwook Kim
    • 2
  1. 1.Mokpo National Maritime UniversityMokpoKorea
  2. 2.Realistic Media InstituteKwangwoon UniversitySeoulKorea

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