Advances in Optical 3D Metrology

A special issue of Metrology (ISSN 2673-8244).

Deadline for manuscript submissions: closed (30 September 2025) | Viewed by 13311

Special Issue Editors


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Guest Editor
Department of Civil, Environmental, Architectural, Engineering and Mathematics, University of Brescia, Via Branze 43, 25123 Brescia, Italy
Interests: mobile mapping; laser scanner; 3D; deformation monitoring of large structures and infrastructures; cultural heritage survey

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Guest Editor
3D Optical Metrology (3DOM) Unit, Bruno Kessler Foundation (FBK), 38123 Trento, Italy
Interests: geomatics; mapping; heritage
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Guest Editor
School of Science, RMIT University, GPO Box 2476, Melbourne 3001, Australia
Interests: close range photogrammetry applications; precise optical metrology; camera calibration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The topic of Optical 3D Metrology (O3DM) tackles precise 3D measurements and accurate modelling from imaging and range sensors. Research on Optical 3D Metrology investigates open issues concerning detailed 3D reconstructions in fields including industrial inspections, aerospace and automotive design, material and component testing, scene documentation, motion analysis, medical applications, and the exploration of remote and hazardous sites, to name but a few examples.

This Special Issue stems from the ISPRS Optical 3D Metrology workshop (https://o3dm.fbk.eu), which involves a series of biannual conferences that build upon the heritage of SPIE Videometrics (1991–2017) and Optical 3D Measurement Techniques (1989–2009). The two previous editions of this O3DM workshop were held in Strasbourg (France) in December 2019 and in Wuerzburg (Germany) in December 2022.

Topics of interest include, but are not limited to, the following:

  • optical sensor investigations and characterisation;
  • radiometric and geometric calibration of sensors;
  • sensor/data fusion;
  • the quality and calibration of colour for 3D models acquired using optical and range-sensing techniques;
  • algorithms for precise 3D data derivation and processing;
  • ambiguous sequences in image orientation;
  • hybrid adjustments for high-accuracy applications;
  • AI methods in metrology and industrial inspections;
  • the handling of transparent or reflective surfaces.

For this Special Issue, we are seeking innovative contributions in the form of extended and improved versions of the articles that were presented at the aforementioned workshops. The accepted papers will be published as peer-reviewed articles in Metrology.

Dr. Giorgio Vassena
Prof. Dr. Fabio Remondino
Prof. Dr. Mark Shortis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metrology is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • photogrammetry
  • active sensors
  • sensor calibration
  • bundle adjustment
  • quality control
  • accuracy

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Published Papers (8 papers)

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Research

38 pages, 11665 KB  
Article
Eccentricity Correction Methods for Circular Targets in Perspective Projection
by Frank Liebold and Hans-Gerd Maas
Metrology 2026, 6(2), 28; https://doi.org/10.3390/metrology6020028 - 20 Apr 2026
Viewed by 160
Abstract
In a perspective projection, a circular target appears as an ellipse for an oblique view. Herein, the ellipse center obtained from image coordinate measurement operators differs from the projection of the circle center. This discrepancy is called eccentricity and may lead to systematic [...] Read more.
In a perspective projection, a circular target appears as an ellipse for an oblique view. Herein, the ellipse center obtained from image coordinate measurement operators differs from the projection of the circle center. This discrepancy is called eccentricity and may lead to systematic errors. This article documents the significance of these discrepancies and discusses five different correction methods that can be applied in the image space or as a model adaptation. Two of the methods include the determination of the circle radius and thus also offer a possibility to define the scale. The eccentricity correction procedures are validated in a series of experiments, which proved that even extreme eccentricity effects can be fully compensated. In the experiment on the approaches including scale determination, the precision and accuracy of the scale definition is investigated, obtaining relative accuracies of 0.5–1%. Full article
(This article belongs to the Special Issue Advances in Optical 3D Metrology)
25 pages, 3415 KB  
Article
Quantifying the Performance of Distributed Large-Volume Metrology Systems for Dynamic Measurements: Methodology Development
by David Gorman, Claire Pottier, Marta Cibrian and Samual Johnston
Metrology 2026, 6(1), 7; https://doi.org/10.3390/metrology6010007 - 30 Jan 2026
Viewed by 647
Abstract
Limitations associated with traditional automation approaches within manufacturing have driven the pursuit of more flexible and intelligent robot guidance methods. One promising development in this area is the integration of external multitarget six degrees of freedom (6 DoF) distributed large-volume metrology (DLVM) into [...] Read more.
Limitations associated with traditional automation approaches within manufacturing have driven the pursuit of more flexible and intelligent robot guidance methods. One promising development in this area is the integration of external multitarget six degrees of freedom (6 DoF) distributed large-volume metrology (DLVM) into the control loop. Although multiple standards exist across dimensional metrology, motion tracking, indoor positioning, robot guidance, and machine tool accuracy, there is no harmonised, technology-agnostic standard that fully encompasses the unique challenges of 6 DoF DLVM systems for dynamic applications. This work identifies key gaps in the current standards’ landscape and presents a technology-agnostic candidate test methodology intended to support future standardisation of dynamic DLVM performance evaluation. The method provides a metrologically grounded spatial reference path and a temporal alignment strategy so that position and orientation errors can be reported in the intrinsic coordinates of the path. The paper covers the basic principle of the test, artefact construction, synchronisation strategies, preliminary error modelling, and a baseline uncertainty approach, and reports representative results from initial prototype trials on a multi-nodal distance-camera DLVM system. The prototype results demonstrate feasibility and highlight temporal sampling and traceable timing as current limiting factors for fully deconvolving latency and pose error; these aspects are therefore positioned as instrumentation requirements and the focus of ongoing work. Full article
(This article belongs to the Special Issue Advances in Optical 3D Metrology)
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22 pages, 6841 KB  
Article
Constraint-Aware Design of Spherical Camera Rigs for Optical Metrology
by Haider Ali Hasan, Ali Noori Abdulrasool, Hadeel Raad Mahdi and Bashar Alsadik
Metrology 2026, 6(1), 2; https://doi.org/10.3390/metrology6010002 - 7 Jan 2026
Viewed by 610
Abstract
This paper introduces a constraint-aware optimization framework for designing spherical multi-camera rigs that achieve complete panorama coverage while adhering to physical and field-of-view limitations. The approach assesses coverage using solid-angle geometry and calculates the sampling density in pixels per steradian, providing a measurable, [...] Read more.
This paper introduces a constraint-aware optimization framework for designing spherical multi-camera rigs that achieve complete panorama coverage while adhering to physical and field-of-view limitations. The approach assesses coverage using solid-angle geometry and calculates the sampling density in pixels per steradian, providing a measurable, traceable basis for panoramic optical measurement. By viewing panoramic imaging as a directional measurement challenge, the framework aligns with principles of optical metrology and guarantees uniform, non-contact optical sensing around the sphere. The optimization process includes capsule-based collision constraints, soft coverage losses, and field-of-view intersection modeling to produce physically feasible rig configurations. Experiments show that the optimized rigs provide improved coverage uniformity and less redundancy, with validation through Blender-generated synthetic panoramas confirming the practical performance of the designed optical systems. The proposed approach allows for systematic, measurement-driven design of spherical camera rigs for use in immersive imaging, robotic perception, and structural inspection. Full article
(This article belongs to the Special Issue Advances in Optical 3D Metrology)
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21 pages, 7944 KB  
Article
Estimation of Surface Normals of Aerospace Fasteners from 3D Terrestrial Laser Scanner Point Clouds
by Kate Pexman, Stuart Robson and Hannah Corcoran
Metrology 2025, 5(4), 68; https://doi.org/10.3390/metrology5040068 - 9 Nov 2025
Viewed by 1018
Abstract
Measurement systems such as laser trackers and 3D imaging systems are being increasingly adopted across the manufacturing industry. These metrology technologies can allow for live, high-precision measurement in a digital system, enabling the spatial component of the digital manufacturing twin. In aircraft wing [...] Read more.
Measurement systems such as laser trackers and 3D imaging systems are being increasingly adopted across the manufacturing industry. These metrology technologies can allow for live, high-precision measurement in a digital system, enabling the spatial component of the digital manufacturing twin. In aircraft wing manufacturing, drilling and fastening operations must be guided by precise measurements from a digital design model. With thousands of fasteners on each aircraft wing, even small errors in alignment of surface covers to wing ribs and spars can impact component longevity due to aerodynamic drag. Determining surface conformance of airstream-facing surfaces is currently largely performed though manual gauge checking by human operators. In order to capture the surface details and reverse engineer components to assure tolerance has been achieved, laser scanners could be utilised alongside a precise registration strategy. This work explores the quality of the aerostructure surface in a captured point cloud and the subsequent accuracy of surface normal determination from planar fastener heads. These point clouds were captured with a reference hand-held laser scanner and two terrestrial laser scanners. This study assesses whether terrestrial laser scanners can achieve <0.5° surface normal accuracy for aerospace fastener alignment. Accuracy of the surface normals was achieved with a nominal mean discrepancy of 0.42 degrees with the Leica RTC360 3D Laser Scanner (Leica Geosystems AG, Heerbrugg, Switzerland) and 0.27 degrees with the Surphaser 80HSX Ultra Short Range (Basis Software Inc., Redmond, WA, USA). Full article
(This article belongs to the Special Issue Advances in Optical 3D Metrology)
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19 pages, 1624 KB  
Article
Uncertainty in Dimensional Measurements During Open-Die Forging
by Marco Tarabini
Metrology 2025, 5(3), 55; https://doi.org/10.3390/metrology5030055 - 2 Sep 2025
Cited by 1 | Viewed by 1479
Abstract
Integrating optical metrology into steelmaking and metalworking processes faces challenges not only from harsh conditions but also from a limited understanding of metrology concepts. The literature often overlooks distinctions between different uncertainty sources. This paper proposes a model for the quantification of uncertainty [...] Read more.
Integrating optical metrology into steelmaking and metalworking processes faces challenges not only from harsh conditions but also from a limited understanding of metrology concepts. The literature often overlooks distinctions between different uncertainty sources. This paper proposes a model for the quantification of uncertainty in dimensional measurements of open-die forged components, addressing the different uncertainty sources related to the measurand variability, to the instrumental uncertainty and to the definitional uncertainty. Guidelines for their evaluation are provided, and two case-studies related to measurement of forged shafts are presented and discussed. Full article
(This article belongs to the Special Issue Advances in Optical 3D Metrology)
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16 pages, 5307 KB  
Article
Revisiting an Indentation Method for Measuring Low Wear Rates Using 3D Interferometry
by Gabriela R. Piazzetta, Thomas M. Zeller, Juan M. Hernandez-Otalvaro and Giuseppe Pintaude
Metrology 2025, 5(2), 35; https://doi.org/10.3390/metrology5020035 - 8 Jun 2025
Cited by 1 | Viewed by 1810
Abstract
Predicting the wear of disc cutters in Tunnel Boring Machines (TBMs) is a complex challenge due to the large scale of the machinery and the numerous operational variables involved. Laboratory-scale tests offer a controlled approach to isolating and analyzing specific wear mechanisms. However, [...] Read more.
Predicting the wear of disc cutters in Tunnel Boring Machines (TBMs) is a complex challenge due to the large scale of the machinery and the numerous operational variables involved. Laboratory-scale tests offer a controlled approach to isolating and analyzing specific wear mechanisms. However, the extremely low wear rates observed in such simulations pose challenges for conventional characterization methods, as gravimetric and profilometric techniques often lack the precision and accuracy needed to measure low wear patterns with an uneven morphology. To address this, this study revisited a methodology for quantifying low wear rates in a reciprocating wear test using AISI H13 tool steel disc cutters. This approach integrates spherical indentation marks as reference points with 3D white-light interferometry, enabling high-precision material loss measurements. Eighteen disc samples were subjected to wear testing, with 3 indentations analyzed per sample, for a total of 54 indentations. The statistical validation confirmed the method’s reproducibility and reliability. The proposed approach provides a robust alternative to existing techniques, addressing a critical gap regarding the accurate quantification of low wear rates in controlled laboratory settings. Full article
(This article belongs to the Special Issue Advances in Optical 3D Metrology)
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35 pages, 14662 KB  
Article
A Statistical Approach for Characterizing the Behaviour of Roughness Parameters Measured by a Multi-Physics Instrument on Ground Surface Topographies: Four Novel Indicators
by Clément Moreau, Julie Lemesle, David Páez Margarit, François Blateyron and Maxence Bigerelle
Metrology 2024, 4(4), 640-672; https://doi.org/10.3390/metrology4040039 - 18 Nov 2024
Cited by 3 | Viewed by 3264
Abstract
With a view to improve measurements, this paper presents a statistical approach for characterizing the behaviour of roughness parameters based on measurements performed on ground surface topographies (grit #080/#120). A S neoxTM (Sensofar®, Terrassa, Spain), equipped with three optical instrument [...] Read more.
With a view to improve measurements, this paper presents a statistical approach for characterizing the behaviour of roughness parameters based on measurements performed on ground surface topographies (grit #080/#120). A S neoxTM (Sensofar®, Terrassa, Spain), equipped with three optical instrument modes (Focus Variation (FV), Coherence Scanning Interferometry (CSI), and Confocal Microscopy (CM)), is used according to a specific measurement plan, called Morphomeca Monitoring, including topography representativeness and several time-based measurements. Previously applied to the Sa parameter, the statistical approach based here solely on the Quality Index (QI) has now been extended to a multi-parameter approach. Firstly, the study focuses on detecting and explaining parameter disturbances in raw data by identifying and quantifying outliers of the parameter’s values, as a new first indicator. This allows us to draw parallels between these outliers and the surface topography, providing reflection tracks. Secondly, the statistical approach is applied to highlight disturbed parameters concerning the instrument mode used and the concerned grit level with two other indicators computed from QI, named homogeneity and number of modes. The applied method shows that a cleaning of the data containing the parameters values is necessary to remove outlier values, and a set of roughness parameters could be determined according to the assessment of the indicators. The final aim is to provide a set of parameters which best describe the measurement conditions based on monitoring data, statistical indexes, and surface topographies. It is shown that the parameters Sal, Sz and Sci are the most reliable roughness parameters, unlike Sdq and S5p, which appear as the most unstable parameters. More globally, the volume roughness parameters appear as the most stable, differing from the form parameters. This investigated point of view offers thus a complementary framework for improving measurement processes. In addition, this method aims to provide a global and more generalizable alternative than traditional methods of uncertainty calculation, based on a thorough analysis of multi-parameter and statistical indexes. Full article
(This article belongs to the Special Issue Advances in Optical 3D Metrology)
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13 pages, 9589 KB  
Article
Metrological Analysis with Covariance Features of Micro-Channels Fabricated with a Femtosecond Laser
by Matteo Verdi, Federico Bassi, Luigi Calabrese, Martina Azzolini, Salim Malek, Roberto Battisti, Eleonora Grilli, Fabio Menna, Enrico Gallus and Fabio Remondino
Metrology 2024, 4(3), 398-410; https://doi.org/10.3390/metrology4030024 - 1 Aug 2024
Viewed by 2339
Abstract
This study presents an automated methodology for evaluating micro-channels fabricated using a femtosecond laser on stainless steel substrates. We utilize 3D surface topography and metrological analyses to extract geometric features and detect fabrication defects. Standardized samples were analyzed using a light interferometer, and [...] Read more.
This study presents an automated methodology for evaluating micro-channels fabricated using a femtosecond laser on stainless steel substrates. We utilize 3D surface topography and metrological analyses to extract geometric features and detect fabrication defects. Standardized samples were analyzed using a light interferometer, and the resulting data were processed with Principal Component Analysis (PCA) and RANSAC algorithms to derive channel characteristics, such as depth, wall taper, and surface roughness. The proposed method identifies common defects, including bumps and V-defects, which can compromise the functionality of micro-channels. The effectiveness of the approach is validated by comparisons with commercial solutions. This automated procedure aims to enhance the reliability and precision of femtosecond laser micro-milling for industrial applications. The detected defects, combined with fabrication parameters, could be ingested in an AI-based process to optimize fabrication processes. Full article
(This article belongs to the Special Issue Advances in Optical 3D Metrology)
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