Multi-View Stereoscopic Image Synthesis Algorithm for 3DTV

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


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.


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



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].


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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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