Evidence map›Paper›PMID 35746259›Full record

ArticleSensors (Basel, Switzerland)2022

Point-Wise Phase Estimation Method in Fringe Projection Profilometry under Non-Sinusoidal Distortion.

Zhuoyi Yin, Cong Liu, Chuang Zhang, Xiaoyuan He, Fujun Yang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhuoyi YinSchool of Civil Engineering, Southeast University, Nanjing 211189, China.ORCID 0000-0002-8970-4092
Cong LiuSchool of Science, Nanjing University of Science and Technology, Nanjing 210094, China.
Chuang ZhangSchool of Science, Nanjing University of Science and Technology, Nanjing 210094, China.
Xiaoyuan HeSchool of Civil Engineering, Southeast University, Nanjing 211189, China.
Fujun YangSchool of Civil Engineering, Southeast University, Nanjing 211189, China.

Funding

China Postdoctoral Science Foundation No. 2020M671493, and 2019M652433National Natural Science Foundation of China No.11802132Natural Science Foundation of Jiangsu Province No. BK20180446Postgraduate Research & Practice Innovation Program of Jiangsu Province No. KYCX22_0223
6 · The paper itself

Abstract

In fringe projection profilometry, high-order harmonics information of distorted fringe will lead to errors in the phase estimation. In order to solve this problem, a point-wise phase estimation method based on a neural network (PWPE-NN) is proposed in this paper. The complex nonlinear mapping relationship between the gray values and the phase under non-sinusoidal distortion is constructed by using the simple neural network model. It establishes a novel implicit expression for phase solution without complicated measurement operations. Compared with the previous method of combining local image information, it can accurately calculate each phase value by point. The comparison results show that the traditional method is with periodic phase errors, while the proposed method can effectively eliminate phase errors caused by non-sinusoidal phase shifting.

Indexed as

fringe projection profilometrynon-sinusoidalphase estimationphase shifting

Identifiers

PMID35746259
PMCPMC9229926

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.