An Iterative Correction Phase of Light Field for Novel View Reconstruction

Zhu, Changjian; Zhang, Hong; Wei, Ying; He, Nan; Liu, Qiuming

doi:10.1007/978-3-030-98355-0_6

MultiMedia Modeling

2022

DOI: 10.1007/978-3-030-98355-0_6

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An Iterative Correction Phase of Light Field for Novel View Reconstruction

Changjian Zhu

Hong Zhang²,

Ying Wei

et al.

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“…Second, for the application of PRLF signals to novel view reconstruction from a set of captured multiview images, we try to explore the reconstruction quality optimization method from the phase retrieval direction of the light field signal to improve the rendering quality. Some preliminary results of this paper were presented at a conference [24]. To summarize, our main contributions are as follows:…”

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Multiview Reconstruction Using Phase Retrieval of Light Field Signals

He¹,

Zhang²,

Zhu

2022

IEEE Access

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Light field rendering is an effective multi-view reconstruction technology. The current multiview reconstruction methods still has the problem of low view synthesis quality in complex scenes, such as occlusion and non Lambertian surfaces. In this article, we consider undistorted multiview reconstruction and develop a phase retrieval method for light field (PRLF) signals to improve the rendering quality. Our approach utilizes the phase spectrum in both the time domain and frequency domain of the discrete light field because the phase of the light field carries more scene information. The phase corrections are "light field truncation" in the time domain and "phase replacement" in the frequency domain. The iterative algorithm used provides high-quality estimated results for the relative phase of the light field. By the estimated phase results, we derive a multiview reconstruction method to improve the rendering quality. Finally, to verify the claimed performance, we also compare the PRLF with the most advanced light field reconstruction algorithms. The experimental results show that the proposed PRLF outperforms other known reconstruction schemes.INDEX TERMS Light field rendering, phase retrieval, novel view reconstruction, rendering quality I. INTRODUCTION

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confidence: 99%

Multiview Reconstruction Using Phase Retrieval of Light Field Signals

He¹,

Zhang²,

Zhu

2022

IEEE Access

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An Iterative Correction Phase of Light Field for Novel View Reconstruction

Cited by 1 publication

References 24 publications

Multiview Reconstruction Using Phase Retrieval of Light Field Signals

Multiview Reconstruction Using Phase Retrieval of Light Field Signals

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