Projection-based coupling of infrared thermography and stereocorrelation-based digital image correlation
Abstract
Full-field measurement techniques such as digital image correlation and infrared thermography are prevalent in experimental solid mechanics. Digital image correlation is used to analyze surface deformation, while infrared thermography quantifies surface temperature fields. However, sophisticated procedures are necessary to express both datasets in the same Lagrangian frame, especially when analyzing non-flat surfaces. In this study, we propose an external projection-based coupling that uses the pinhole camera model to relate two-dimensional temperature data measured by infrared thermography to three-dimensional point coordinates from stereocorrelation-based digital image correlation. Unlike existing multiview approaches, we utilize two independently calibrated industrial-grade systems and augment the experimental evaluation with the pinhole camera model. The projection matrix of the camera model is calibrated using a single image of a reference object. Through this projection, temperature fields are accurately represented at material points. Our method is particularly suited for, but not restricted to, curved surfaces and is straightforward to embed in existing experimental protocols, as the image registration is kept as is. Additionally, we use radial basis functions as a global interpolation ansatz in both space and time to compute in-plane temperature gradients and even temperature rates on curved surfaces, thereby providing an extensive and information-rich full-field dataset.
Versions
Related
- Quantifying thermal-signature equivalence in infrared breast thermography using a modified Pennes bioheat model
- Two-Dimensional Correlation of Quantum-Mechanical Infrared Spectra Reveals Order of Vibrational-Mode Positions and Predicts Classical RMSD Structural Descriptor
- Correlation enhanced altermagnetism mediated by spin-lattice coupling in CrSb
- Quantum undetected optical projection tomography
- Projection method for mean resolvent analysis of periodic flows
BibTeX
@misc{troger2026projectionbased,
title = {{Projection-based coupling of infrared thermography and stereocorrelation-based digital image correlation}},
author = {Jendrik-Alexander Tröger and Lutz Müller-Lohse and Stefan Hartmann},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2606.28905},
eprint = {2606.28905},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2606.28905},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Projection-based coupling of infrared thermography and stereocorrelation-based digital image correlation
AU - Jendrik-Alexander Tröger
AU - Lutz Müller-Lohse
AU - Stefan Hartmann
PY - 2026
DA - 2026/10/20
PB - arXiv
DO - 10.48550/arxiv.2606.28905
UR - https://arxiv.org/abs/2606.28905
AB - Full-field measurement techniques such as digital image correlation and infrared thermography are prevalent in experimental solid mechanics. Digital image correlation is used to analyze surface deformation, while infrared thermography quantifies surface temperature fields. However, sophisticated procedures are necessary to express both datasets in the same Lagrangian frame, especially when analyzing non-flat surfaces. In this study, we propose an external projection-based coupling that uses the pinhole camera model to relate two-dimensional temperature data measured by infrared thermography to three-dimensional point coordinates from stereocorrelation-based digital image correlation. Unlike existing multiview approaches, we utilize two independently calibrated industrial-grade systems and augment the experimental evaluation with the pinhole camera model. The projection matrix of the camera model is calibrated using a single image of a reference object. Through this projection, temperature fields are accurately represented at material points. Our method is particularly suited for, but not restricted to, curved surfaces and is straightforward to embed in existing experimental protocols, as the image registration is kept as is. Additionally, we use radial basis functions as a global interpolation ansatz in both space and time to compute in-plane temperature gradients and even temperature rates on curved surfaces, thereby providing an extensive and information-rich full-field dataset.
ER -