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Hierarchical Interpolation-Based Disocclusion Region Recovery for Two-View to N-View Conversion System

  • Wun-Ting Lin
  • Chen-Ting Yeh
  • Shang-Hong LaiEmail author
Conference paper
  • 1.5k Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9315)

Abstract

In this paper, we propose a novel disocclusion region recovery approach for two-view to n-view conversion system. Although the topic of view synthesis has been exhaustively studied for decades, a reliable disocclusion region recovery approach, an indispensable issue in synthesizing realistic content of virtual view, is still under research. The most common concept used for predicting these unknown pixels is inpainting-related method, which fills the disocclusion region with the information of mated exemplars in self-defined searching domain. In spite of widely taken in making up the missing values generated among the synthesis procedures, the result quality of inpainting-based approach is sensitive to the filling priority and also unstable in recovering large disocclusion region. Therefore, we propose a hierarchical interpolation-based approach to calculate the desired lost information under coarse-to-fine manner accompanied with the joint bilateral upsampling technology, applied for enlarging the estimation from small dimension to higher-resolution. Proposed hierarchical interpolation-based scheme is more robust in restoring the value of missing region and also induces fewer artifacts. We demonstrate the superior quality of the synthesized virtual views under the proposed recovery algorithm over the traditional inpainting-based method through experiments on several benchmarking video datasets.

Keywords

Disocclusion region recovery Image inpainting View interpolation Novel view synthesis 

Notes

Acknowledgements

This work was partially supported by Ministry of Science and Technology, Taiwan, R.O.C., under the grant MOST 101-2221-E-007-129-MY3.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Computer ScienceNational Tsing Hua UniversityHsinchuTaiwan

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