Evidence map›Paper›PMID 38931577›Full record

ArticleSensors (Basel, Switzerland)2024

A Novel Dynamic Light-Section 3D Reconstruction Method for Wide-Range Sensing.

Mengjuan Chen, Qing Li, Kohei Shimasaki, Shaopeng Hu, Qingyi Gu, Idaku Ishii

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Mengjuan ChenSchool of Advanced Science and Technology, Hiroshima University, Higashihiroshima 739-8527, Japan.ORCID 0000-0001-5445-3644
Qing LiSchool of Advanced Science and Technology, Hiroshima University, Higashihiroshima 739-8527, Japan.
Kohei ShimasakiSchool of Advanced Science and Technology, Hiroshima University, Higashihiroshima 739-8527, Japan.
Shaopeng HuSchool of Advanced Science and Technology, Hiroshima University, Higashihiroshima 739-8527, Japan.
Qingyi GuInstitute of Automation, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0001-8332-5350
Idaku IshiiSchool of Advanced Science and Technology, Hiroshima University, Higashihiroshima 739-8527, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing galvanometer-based laser-scanning systems are challenging to apply in multi-scale 3D reconstruction because of the difficulty in achieving a balance between a high reconstruction accuracy and a wide reconstruction range. This paper presents a novel method that synchronizes laser scanning by switching the field-of-view (FOV) of a camera using multi-galvanometers. Beyond the advanced hardware setup, we establish a comprehensive geometric model of the system by modeling dynamic camera, dynamic laser, and their combined interaction. Furthermore, since existing calibration methods mainly focus on either dynamic lasers or dynamic cameras and have certain limitations, we propose a novel high-precision and flexible calibration method by constructing an error model and minimizing the objective function. The performance of the proposed method was evaluated by scanning standard components. The results show that the proposed 3D reconstruction system achieves an accuracy of 0.3 mm when the measurement range is extended to 1100 mm × 1300 mm × 650 mm. This demonstrates that for meter-scale reconstruction ranges, a sub-millimeter measurement accuracy is achieved, indicating that the proposed method realizes multi-scale 3D reconstruction and simultaneously allows for high-precision and wide-range 3D reconstruction in industrial applications.

Indexed as

calibrationdynamic 3D reconstructionlight sectionmulti galvanometers

Identifiers

PMID38931577
PMCPMC11207845

What OpenQuestion holds

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LicenceCC BY
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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.