• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

3D View Synthesis with Feature-Based Warping

Vol. 11, No. 11, November 29, 2017
10.3837/tiis.2017.11.018, Download Paper (Free):


Three-dimensional video (3DV), as the new generation of video format standard, can provide the viewers with a vivid screen sense and a realistic stereo impression. Meanwhile the view synthesis has become an important issue for 3DV application. Differently from the conventional methods based on depth, in this paper we propose a new view synthesis algorithm, which can employ the correlation among views and warp in the image domain only. There are mainly two contributions. One is the incorporation of sobel edge points into feature extraction and matching, which can obtain a better stable homography and then a visual comfortable synthesis view compared to SIFT points only. The other is a novel image blending method proposed to obtain a better synthesis image. Experimental results demonstrate that the proposed method can improve the synthesis quality both in subjectivity and objectivity.


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Cite this article

[IEEE Style]
N. Hu, Y. Zhao, H. Bai, "3D View Synthesis with Feature-Based Warping," KSII Transactions on Internet and Information Systems, vol. 11, no. 11, pp. 5506-5521, 2017. DOI: 10.3837/tiis.2017.11.018.

[ACM Style]
Ningning Hu, Yao Zhao, and Huihui Bai. 2017. 3D View Synthesis with Feature-Based Warping. KSII Transactions on Internet and Information Systems, 11, 11, (2017), 5506-5521. DOI: 10.3837/tiis.2017.11.018.

[BibTeX Style]
@article{tiis:21608, title="3D View Synthesis with Feature-Based Warping", author="Ningning Hu and Yao Zhao and Huihui Bai and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2017.11.018}, volume={11}, number={11}, year="2017", month={November}, pages={5506-5521}}