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.
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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].
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© 2013 Springer Science+Business Media Dordrecht
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Choi, H., Seo, Y., Yoo, J., Kim, D. (2013). Multi-View Stereoscopic Image Synthesis Algorithm for 3DTV. In: Jung, HK., Kim, J., Sahama, T., Yang, CH. (eds) Future Information Communication Technology and Applications. Lecture Notes in Electrical Engineering, vol 235. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6516-0_57
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DOI: https://doi.org/10.1007/978-94-007-6516-0_57
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