Evidence map›Paper›PMID 41012913›Full record

ArticleSensors (Basel, Switzerland)2025

Multi-Camera 3D Digital Image Correlation with Pointwise-Optimized Model-Based Stereo Pairing.

Wenxiang Qin, Feiyue Wang, Shaopeng Hu, Kohei Shimasaki, Idaku Ishii

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

5 authors.

Wenxiang QinGraduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, Japan.ORCID 0009-0000-3240-6687
Feiyue WangGraduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, Japan.
Shaopeng HuDigital Monozukuri (Manufacturing) Education and Research Center, Hiroshima University, Hiroshima 739-0046, Japan.
Kohei ShimasakiGraduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, Japan.
Idaku IshiiGraduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, Japan.

Funding

Japan Science and Technology Agency JPMJSP2132Japan Science and Technology Agency JPMJTR231A
6 · The paper itself

Abstract

Dynamic deformation measurement (DDM) is critical across infrastructure and industrial applications. Among various advanced techniques, multi-camera digital image correlation (MC-DIC) stands out due to its ability to achieve wide-range, full-field, and non-contact 3D DDM by pairing camera subsystems. However, existing MC-DIC methods typically rely on inefficient manual pairing or a simplistic strategy that aggregates all visible cameras for measuring specific object regions, leading to camera over-grouping. These limitations often result in cumbersome system setup and ill-measured deformations. To overcome these challenges, we propose a novel MC-DIC method with pointwise-optimized model-based stereo pairing (MPMC-DIC). By automatically evaluating and selecting camera pairs based on five evaluation factors derived from 3D model and calibrated cameras, the proposed method overcomes the over-grouping problem and achieves high-precision DDM of semi-rigid objects. A Ø5 × 5 cm cylinder experiment demonstrated an accuracy of 0.03 mm for both horizontal and depth displacements in the 0.0-5.0 mm range, and validated strong robustness against cluttered backgrounds using a 2 × 4 camera array. Vibration measurement of a 9 × 15 × 16 cm PC speaker operating at 50 Hz, using eight surrounding cameras capturing 1920 × 1080 images at 400 fps, confirmed the proposed method's capability to perform wide-range dynamic deformation analysis and its robustness against complex object geometries.

Indexed as

3D dynamic deformation measurement3D modelautomatic camera pairingdigital image correlationmulti-camera geometry

Identifiers

PMID41012913
PMCPMC12473571

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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.