Underdetermined Polarimetric Measurements for Mueller Extrapolations
Quinn Jarecki, Meredith Kupinski

TL;DR
This paper introduces a linear estimator for Mueller matrix extrapolation from minimal polarimetric measurements, enabling efficient characterization of materials with fewer measurements, demonstrated on LEGO bricks with promising accuracy.
Contribution
The work develops and validates a linear estimator for dominant eigenvalue of Mueller matrices, reducing measurement requirements for material polarization analysis.
Findings
Achieved 11.06% mean flux error with fewer measurements
Demonstrated successful Mueller matrix extrapolation on LEGO bricks
Reduced measurement count by a factor of 10 compared to full reconstruction
Abstract
Polarized light-matter interactions are mathematically described by the Mueller matrix (MM)-valued polarized bidirectional reflectance distribution function (pBRDF). A pBRDF is parameterized by 16 degrees of freedom that depend upon scattering geometry. A triple degenerate (TD) MM assumption reduces the degrees of freedom to eight: one for reflectance, six for non-depolarizing properties, and one for depolarization. When the non-depolarizing dominant process is known or assumed (e.g. Fresnel reflection), the degrees of freedom are further reduced to two. For a given material, if the TD model is appropriate and the dominant non-depolarizing process is known, then these two degrees of freedom can be estimated from as few as two polarimetric measurements. Thus, the MM can be extrapolated from a reduced number of measurements. The primary contribution of this work is the development and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptical Polarization and Ellipsometry · Leaf Properties and Growth Measurement · Optical measurement and interference techniques
