Spectral analysis of image-based rendering data with scene geometry

Zhu, Changjian; Yu, Li

doi:10.1007/s00530-016-0515-8

Cited by 13 publications

(8 citation statements)

References 37 publications

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“…(t, s) denotes the camera plane, and (u, v) denotes the image plane. To follow the method of light field representation in [14], [15], [51]- [54], the 4D light field function p (t, s, v, u) can be simplified to the 2D light field p (t, v) as shown in Fig. 1.…”

Section: Light Field Sampling Model and Formulation A Light Field Rep...mentioning

confidence: 99%

“…The second approach improves the quality of novel view reconstruction by optimizing the reconstruction algorithms of the light field. The bandwidth of the light field can be obtained through spectrum analysis, and a reasonable reconstruction filter can be designed to reconstruct the novel views [14], [15], [16], [17]. Furthermore, learning methods are used to optimize the reconstruction quality of novel views [18], [19], [20], [21].…”

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confidence: 99%

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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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Section: Light Field Sampling Model and Formulation A Light Field Rep...mentioning

confidence: 99%

mentioning

confidence: 99%

Multiview Reconstruction Using Phase Retrieval of Light Field Signals

He¹,

Zhang²,

Zhu

2022

IEEE Access

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“…Conditional probability plexity (geometrical and textural information), the number of image samples, and the output resolution [12]. Conventional approaches to plenoptic sampling usually apply spectral analysis to Fourier theory [8]- [15]. The spectral analysis determines the minimum sampling rate of the plenoptic function according to spectral support.…”

Section: (S T)mentioning

confidence: 99%

“…In this case, the spectral support must be bandlimited for the plenoptic function. Thus, the plenoptic sampling theories in [8]- [15] were based on an assumption of bandlimited spectrum. However, the plenoptic function in most scenes is not naturally bandlimited.…”

Section: (S T)mentioning

confidence: 99%