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Degree of polarization model based on a modified three-component pBRDF
Applied Optics
|September 14, 2023
Summary
A new modified three-component polarized bidirectional reflectance distribution function (pBRDF) model accurately describes scattered light polarization. This model, validated with fabric samples, offers a basis for polarization detection and image simulation.
Area of Science:
- Optics and Photonics
- Materials Science
Background:
- The polarized bidirectional reflectance distribution function (pBRDF) is crucial for quantifying radiation intensity and describing light scattering polarization on surfaces.
- Existing pBRDF models may not fully capture the complex reflection processes involving specular reflection, multiple reflections, and volume scattering.
Purpose of the Study:
- To propose a modified three-component pBRDF model incorporating specular reflection, multiple reflection, and volume scattering.
- To derive a degree of polarization model based on the new pBRDF for natural incident light.
- To validate the model's accuracy in describing the spatial distribution of polarization characteristics.
Main Methods:
- A modified three-component pBRDF model was developed, adjusting parameters for microfacet distribution, geometrical attenuation, multiple reflection, and volume scattering.
- A degree of polarization model was derived for natural light.
- Experimental data from a multi-angle polarization instrument measuring four coating fabric samples were used to invert model coefficients.
- Model predictions were compared with experimental measurements at 720 nm.
Main Results:
- The modified pBRDF model accurately describes the spatial distribution of polarization characteristics for the tested fabric samples.
- The model achieved low error margins (0.06, 0.1, 0.04, and 0.09) when compared to experimental data.
- The derived degree of polarization model effectively characterized the scattered light polarization.
Conclusions:
- The proposed modified pBRDF model provides an accurate method for describing the polarization characteristics of scattered light.
- The model's validation demonstrates its potential for applications in polarization detection and polarization image simulation.
- This research offers a robust theoretical foundation for advanced optical sensing and imaging techniques.
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