Probability-Based Rendering for View Synthesis

@article{Ham2014ProbabilityBasedRF,
  title={Probability-Based Rendering for View Synthesis},
  author={Bumsub Ham and Dongbo Min and Changjae Oh and Minh N. Do and Kwanghoon Sohn},
  journal={IEEE Transactions on Image Processing},
  year={2014},
  volume={23},
  pages={870-884}
}
In this paper, a probability-based rendering (PBR) method is described for reconstructing an intermediate view with a steady-state matching probability (SSMP) density function. Conventionally, given multiple reference images, the intermediate view is synthesized via the depth image-based rendering technique in which geometric information (e.g., depth) is explicitly leveraged, thus leading to serious rendering artifacts on the synthesized view even with small depth errors. We address this… CONTINUE READING
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