Abstract
We propose a virtual view synthesis method based on depth image-based rendering (DIBR) to realize wide multi-view 3D displays. The proposed multi-view rendering method focuses on reducing the repetitive hole restoration process and generating spatiotemporally consistent multi-views. First, we determine a single view reference layer (SVRL) and set the maximum hole area in this SVRL to cover the maximum hole occurrence in the synthesized views. The hole in the SVRL is also restored by referencing the non-hole region of the current SVRL and the accumulated background data of the previous frame. If the newly uncovered background region exists in the restored SVRL, we continuously accumulate the background region and use it to restore the hole of the next SVRL to achieve temporal consistency of the synthesized views. Finally, the restored hole in the SVRL is propagated to the hole in each synthesized view, thereby preserving the spatial consistency of the synthesized views because the hole region in each synthesized view is restored by using the common SVRL. The experimental results showed that the proposed method generates spatiotemporally consistent multi-view images and decreases the complexity of the hole restoration process by reducing the number of repetitive hole restoration process.
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References
Tanimoto, M., Tehrani, M.P., Fujii, T., Yendo, T.: Free-viewpoint TV. IEEE Signal Processing Magazine 28, 67–76 (2011)
Bartczak, B., Vandewalle, P., Grau, O., Briand, G., Fournier, J., Kerbiriou, P., Murdoch, M., Muller, M., Goris, R., Koch, R., van der Vleuten, R.: Display-independent 3D-TV production and delivery using the layered depth video format. IEEE Transactions on Broadcasting 57, 477–490 (2011)
Muller, K., Merkle, P., Wiegand, T.: 3-D video representation using depth maps. Proceedings of the IEEE 99, 643–656 (2011)
Kim, J.H., Kolmogorov, V., Zabih, R.: Visual correspondence using energy minimization and mutual information. In: International Conference on Computer Vision, pp. 1–8 (2003)
Tanimoto, M., Fujii, T., Suzuki, K.: View synthesis algorithm in view synthesis reference software 2.0(VSRS 2.0). ISO/IEC JTC1/SC29/WG11 M16090, 1–8 (2008)
Tian, D., Lai, P., Lopez, P., Gomila, C.: View synthesis techniques for 3D video. Proceedings of SPIE 7443, 643–656 (2009)
Koppel, M., Ndjiki-Nya, P., Doshkov, D., Lakshman, H., Merkle, P., Wiegand, T.: Temporal Consistent Handling of Disocclusions with Texture Synthesis for Depth-Image-Based Rendering. In: Proceedings of International Conference on Image Processing, pp. 1809–1812 (2010)
Xu, Z., Sun, J.: Image inpainting by patch propagation using patch sparsity. IEEE Transactions on Image Processing 19, 1153–1165 (2010)
Humenberger, M., Engelke, T., Kubinger, W.: A census-based stereo vision algorithm using modified semi-global matching and plane fitting to improve matching quality. In: CVPRW, pp. 77–84 (2010)
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Cho, YH., Lee, HY., Park, DS. (2013). Multi-view Synthesis Based on Single View Reference Layer. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds) Computer Vision – ACCV 2012. ACCV 2012. Lecture Notes in Computer Science, vol 7727. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37447-0_43
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DOI: https://doi.org/10.1007/978-3-642-37447-0_43
Publisher Name: Springer, Berlin, Heidelberg
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