Mr. Quinn Jarecki Profile

Quinn Jarecki

at Wyant College of Optical Sciences

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Author

Publications (8)

SPIE Journal Paper | 20 September 2024 Open Access

Mueller polarimetry for quantifying the stress optic coefficient in the infrared

Jeremy Parkinson, Patrick Coronato, Jake Greivenkamp, Quinn Jarecki, Daniel Vukobratovich, Meredith Kupinski

OE, Vol. 63, Issue 09, 094104, (September 2024) https://doi.org/10.1117/12.10.1117/1.OE.63.9.094104

KEYWORDS: Polarimetry, Birefringence, Polysomnography, Finite element methods, Geometrical optics, Wave plates, Optical engineering, Polarization, Infrared radiation, Depolarization

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Proceedings Article | 10 June 2024 Presentation

Full Mueller matrix imaging of human corneal birefringence

Quinn Jarecki, Adeline Tai, Khalid Omer, Meredith Kupinski

Proceedings Volume 13050, 130500E (2024) https://doi.org/10.1117/12.3015085

KEYWORDS: Polarimetry, Mueller matrices, Birefringence, Eye, Corneal imaging, Wave plates, In vivo imaging, Spatial resolution, Polarization, Modulation

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Proceedings Article | 7 June 2024 Presentation + Paper

Disambiguation of surface normals using single-view Mueller shape-from-polarization

Lily McKenna, Quinn Jarecki, Meredith Kupinski

Proceedings Volume 13050, 130500J (2024) https://doi.org/10.1117/12.3015084

KEYWORDS: Signal to noise ratio, Cameras, Optical spheres, Polarization, RGB color model, Specular reflections, Polarimetry, Materials properties, Mueller matrices, Light sources and illumination

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Proceedings Article | 5 October 2023 Presentation

A validation of measured pBRDFs from physics-based renderings and Mueller imaging

Khalid Omer, Quinn Jarecki, Stefan Forschner, Meredith Kupinski

Proceedings Volume PC12690, PC1269001 (2023) https://doi.org/10.1117/12.2676770

KEYWORDS: Polarimetry, Optical spheres, Light scattering, Polarized light, Light sources and illumination, Spherical lenses, Mueller matrices, Bidirectional reflectance transmission function

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Proceedings Article | 3 October 2023 Presentation + Paper

Single-view shape and depth from closed-form polarization models for depolarization-dominated objects

Quinn Jarecki, Meredith Kupinski

Proceedings Volume 12690, 1269004 (2023) https://doi.org/10.1117/12.2676996

KEYWORDS: Depolarization, Polarization, Polarimetry, Scattering, Mueller matrices, Light scattering

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Proceedings Article | 28 September 2023 Presentation + Paper

Poke: an open-source, ray-based physical optics platform

Jaren Ashcraft, Ewan Douglas, Daewook Kim, A. J. Riggs, Ramya Anche, Trent Brendel, Kevin Derby, Brandon Dube, Quinn Jarecki, Emory Jenkins, Kian Milani

Proceedings Volume 12664, 1266404 (2023) https://doi.org/10.1117/12.2678001

KEYWORDS: Ray tracing, Polarization, Diffraction, Modeling, Thin films, Interfaces, Simulations, Design and modelling, Wavefronts, Telescopes

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SPIE Journal Paper | 24 December 2022 Open Access

Underdetermined polarimetric measurements for Mueller extrapolations

Quinn Jarecki, Meredith Kupinski

OE, Vol. 61, Issue 12, 123104, (December 2022) https://doi.org/10.1117/12.10.1117/1.OE.61.12.123104

KEYWORDS: Polarimetry, Depolarization, Cameras, Polarization, Reflection, Light sources and illumination, Video, Matrices, Mueller matrices, Scattering

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Proceedings Article | 3 June 2022 Presentation + Paper

Extrapolating Mueller matrices from linear Stokes images

Quinn Jarecki, Meredith Kupinski

Proceedings Volume 12112, 121120D (2022) https://doi.org/10.1117/12.2619055

KEYWORDS: Polarimetry, Cameras, Reflection, Scattering, Polarization, Bidirectional reflectance transmission function, Mueller matrices, Polarizers

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An object’s polarimetric bidirectional reflection distribution function (pBRDF) is fully parameterized by the 16 degrees of freedom of a Mueller matrix (MM) at each scattering geometry. A common pBRDF approximation to reduce the degrees of freedom is as a weighted sum of a Fresnel reflection term and an ideal depolarizer term. The weights on these terms represent fractional specular and diffuse reflection and are typically fit independently. Any MM for which the smallest three eigenvalues of the Cloude MM decomposition are identical,¹ can be rewritten as a convex sum of a dominant non-depolarizing MM and an ideal depolarizer.^{2, 3} Therefore, the fractional contribution of each term in this pBRDF model is a single depolarization parameter which corresponds to the largest eigenvalue.² The reduced degrees of freedom for pBRDFs described by this single depolarization parameter create an opportunity to utilize partial polarimetry. The primary contribution of this work is a linear estimator for a MM’s dominant eigenvalue which requires fewer measurements than a full MM reconstruction. Despite reducing the number of simulated measurements by a factor of 10, partial-polarimetry and full Mueller polarimetry eigenvalue estimates are comparable. Root-mean-squared error (RMSE) averaged over acquisition geometry for eigenvalues of a white and a gray balance card were 0.027 and 0.025 respectively for 4 polarimetric measurements, and 0.019 and 0.032 respectively for 40 polarimetric measurements. MM extrapolations from measurements with a commercial off-the-shelf linear Stokes camera are performed at 25 acquisition geometries on an ensemble of LEGO bricks treated to have varying surface roughness. Averaged over the acquisition geometries, the partial-polarimetry extrapolated MMs achieve a 7.3% minimum and 15.1% maximum flux discrepancy from full-polarimetry reconstructed MMs over the varying surface textures. This work demonstrates the first approach, known to the authors, for extrapolating depolarizing MMs.

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