MultiPolar: A Benchmark Dataset for Digital Photoelasticity Using a Pixelated Polarization Camera

Digital photoelasticity enables non-contact, full-field stress analysis through optical fringe patterns, yet its practical deployment is often constrained by experimental complexity and the limited availability of open, standardized datasets. The emergence of multi-polarizer array cameras provides polarization-resolved measurements with high information content, enabling advanced analysis strategies beyond conventional single-image approaches. This work presents a public experimental dataset composed of synchronized image sequences acquired using a polarizer array camera and a conventional RGB camera under incremental mechanical loading. The dataset comprises nine experiments, including four benchmark specimens and five bio-inspired geometries, each recorded over 720 load steps. In total, the dataset releases 25,920 polarization-resolved images and 6480 RGB images, all provided in lossless format and accompanied by experiment-specific segmentation templates. Although classical and hybrid load-stepping methods are used to demonstrate the utility of the dataset, its scope is not limited to this application. The dataset is intended as a flexible platform for exploring a wide range of photoelastic analysis techniques that leverage polarization information, while enabling direct comparison with conventional color demodulation techniques.

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Published
2026-03-12
DOI
https://doi.org/10.3390/data11030055
Primary Topic
Optical measurement and interference techniques
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article
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article

MultiPolar: A Benchmark Dataset for Digital Photoelasticity Using a Pixelated Polarization Camera

Jose L. López-Prado, Juan Camilo Hernandez-Gomez, Mateo Rico-García, Hermes Fandiño-Toro et al.
Data
Optical measurement and interference techniques
article

MultiPolar: A Benchmark Dataset for Digital Photoelasticity Using a Pixelated Polarization Camera

Jose L. López-Prado, Juan Camilo Hernandez-Gomez, Mateo Rico-García, Hermes Fandiño-Toro, Juán León
article en

Abstract

Digital photoelasticity enables non-contact, full-field stress analysis through optical fringe patterns, yet its practical deployment is often constrained by experimental complexity and the limited availability of open, standardized datasets. The emergence of multi-polarizer array cameras provides polarization-resolved measurements with high information content, enabling advanced analysis strategies beyond conventional single-image approaches. This work presents a public experimental dataset composed of synchronized image sequences acquired using a polarizer array camera and a conventional RGB camera under incremental mechanical loading. The dataset comprises nine experiments, including four benchmark specimens and five bio-inspired geometries, each recorded over 720 load steps. In total, the dataset releases 25,920 polarization-resolved images and 6480 RGB images, all provided in lossless format and accompanied by experiment-specific segmentation templates. Although classical and hybrid load-stepping methods are used to demonstrate the utility of the dataset, its scope is not limited to this application. The dataset is intended as a flexible platform for exploring a wide range of photoelastic analysis techniques that leverage polarization information, while enabling direct comparison with conventional color demodulation techniques.

DataVol. 11(3)
University of Sucre (CO), Universidad Nacional de Colombia (CO), Institución Universitaria Pascual Bravo (CO), Universidad de Medellín (CO), Instituto Tecnológico Metropolitano (CO)
Openalex Percentile: Top 25%
Optical measurement and interference techniques
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