Abstract
We present an iterative correction phase algorithm (ICPA) for light field reconstruction. We study novel views of light field that satisfy certain conditions can be reconstructed from the phase spectrum. The ICPA includes phase corrections in both time domain and frequency domain of discrete light filed. Furthermore, the phase corrections are “light field truncation” in the time domain and “phase replacement” in the frequency domain. Thus, the estimation of the reconstructed light field improves with each iteration. Our ICPA predicts the characteristics of light field such as phase and amplitude. Predictions on the frequency content can then be used to improve the rendering quality of novel views. Finally, to verify the claimed performance, we also compare the ICPA with the most advanced light field reconstruction algorithms. The experimental results show that the proposed ICPA outperforms other known reconstruction schemes.
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Acknowledgments
This work was supported in part by National Natural Science Foundation of China under Grant 61961005 and 61871437, and in part by the Guangxi Natural Science Foundation Project 2019AC20121 (AD19245085) and 2018GXNSFAA281195, and in part by the Natural Science Foundation of Jiangxi Province under Grant YG2018042 and Grant 20202BAB212003.
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Zhu, C., Zhang, H., Wei, Y., He, N., Liu, Q. (2022). An Iterative Correction Phase of Light Field for Novel View Reconstruction. In: Þór Jónsson, B., et al. MultiMedia Modeling. MMM 2022. Lecture Notes in Computer Science, vol 13142. Springer, Cham. https://doi.org/10.1007/978-3-030-98355-0_6
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