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Article
Peer-Review Record

Structured Light Patterns Work Like a Hologram

Appl. Sci. 2023, 13(6), 4037; https://doi.org/10.3390/app13064037
by Sergey Alexandrovich Shoydin 1,2,* and Artem Levonovich Pazoev 1
Reviewer 1:
Reviewer 2:
Appl. Sci. 2023, 13(6), 4037; https://doi.org/10.3390/app13064037
Submission received: 14 February 2023 / Revised: 10 March 2023 / Accepted: 17 March 2023 / Published: 22 March 2023
(This article belongs to the Special Issue Digital Holography: Novel Techniques and Its Applications)

Round 1

Reviewer 1 Report

The authors did a good job in keeping the content interesting. Its a new idea. The results are promising. 

(1) The theoretical formulation is lack of, please justify the actual hologram there. 

(2) The experimental setup? I know it's a simulation study only for now. I would strongly advise the design of a simple proof concept experimental setup before we consider the rigorousness of the design.

(3) The implementation details of paper is vague. I am struggling to see how the authors convert fringes to the hologram.

Author Response

We would like to thank Reviewers for useful advice and discussions. Actually, after we made amendments according to Reviewer’s comments, the paper has become better structured and vivid.

Author Response File: Author Response.docx

Reviewer 2 Report

The paper demonstrates 3D object reconstruction from lateral structured light projection. The shift of vertical light fringes are used as an information channel for replacing the depth maps, resulting in substantial data compression suitable for continuous transmission of 3D video without compromising the spatial resolution. The authors further demonstrate the concept numerically by benchmarking the detailed information of restored 3D objects and the transmission time through radio communication channel. Overall, the paper is well written and solid, so I support the acceptance of the paper after addressing the following comments:

1. The proposed method relies on minus 1st order diffraction to restore the object, but it is not clear to me how realistically the 1st order can be distinguished from the complex interference patterns. Especially if the surface of an object is diffuse, which is the case for human face, there will be no distinctive angular diffraction. It would be helpful if the authors could provide more context or information about this.

2. It is not clear to me whether the fringes are retrieved from the farfield or the surface. From Figure 2b, I would assume that the fringes are extracted from the object surface, so how are the fringe arrays in Figure 3c selected from the superimposed images?

3. The method involves compressing the depth to lambda/2. Can the authors explain how the value of lambda/2 was chosen?

4. In the amplitude and phase maps (e.g. Figure 5), it is suggested that the authors include a colorbar to indicate the range of colors or values represented in the plot.

5. From the restored 3D object (e.g. Figure 10), it seems that the 3D information is not reliable deep behind the face. Can the authors comment on the maximum depths that the proposed method can restore?

 

Author Response

We would like to thank Reviewers for useful advice and discussions. Actually, after we made amendments according to Reviewer’s comments, the paper has become better structured and vivid.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

Authors have revised the manuscript based on my inputs and I recommend for publication. 

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