Long wave infrared polarimetric model: theory, measurements and parameters

Wellems, David; Ortega, Steve; Bowers, David L.; Boger, Jim; Fetrow, Matthew P.

doi:10.1088/1464-4258/8/10/014

Cited by 34 publications

(10 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This representation also includes the Hyper‐Cauchy definition (with C =γ and ), first introduced by Wellems et al [WOB*06], and used by Butler and Marciniak [BM14] for fitting measured BRDFs. This latter includes GGX when γ=2 and becomes a dirac distribution when γ → ∞; Beckmann's distribution does not appear.…”

Section: Student's T Normal Distributionmentioning

confidence: 99%

STD: Student's t-Distribution of Slopes for Microfacet Based BSDFs

Ribardière

Bringier

Méneveaux

et al. 2017

Computer Graphics Forum

View full text Add to dashboard Cite

International audienceThis paper focuses on microfacet reflectance models, and more precisely on the definition of a new and more general distribution function, which includes both Beckmann's and GGX distributions widely used in the computer graphics community. Therefore, our model makes use of an additional parameter g, which controls the distribution function slope and tail height. It actually corresponds to a bivariate Student's t-distribution in slopes space and it is presented with the associated analytical formulation of the geometric attenuation factor derived from Smith representation.We also provide the analytical derivations for importance sampling isotropic and anisotropic materials. As shown in the results, this new representation offers a finer control of a wide range of materials, while extending the capabilities of fitting parameters with captured data

show abstract

Section: Student's T Normal Distributionmentioning

confidence: 99%

STD: Student's t-Distribution of Slopes for Microfacet Based BSDFs

Ribardière

Bringier

Méneveaux

et al. 2017

Computer Graphics Forum

View full text Add to dashboard Cite

show abstract

“…The shadowing/masking function is instrumental in keeping the pBRDF bounded and thus satisfying the conservation of energy. The lack of G causes the pBRDF to asymptotically approach infinity as the angle of incidence or observation approaches grazing [14,15]. The function utilized in this paper is that introduced by Torrance and Sparrow [7] and simplified by Blinn [16]:…”

Section: Specular Pbrdf Componentmentioning

confidence: 99%

Results of a new polarimetric BRDF simulation of metallic surfaces

Pan

Chen

Qian

et al. 2015

Infrared Physics & Technology

View full text Add to dashboard Cite

“…When the sample is not an ideal smooth surface, the reflected light will have different propagating directions, namely scattering. Reflection from a rough surface can be typically modeled using a bidirectional reflectance distribution function (BRDF) [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. As a famous geometrical optics model, the Torrance–Sparrow (T-S) model [ 15 ] has been widely investigated and expanded to the polarized BRDF (pBRDF) models [ 16 , 17 , 18 , 19 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Depolarization Characteristics of Different Reflective Interfaces Indicated by Indices of Polarimetric Purity (IPPs)

Guo

Sun

et al. 2021

Sensors

View full text Add to dashboard Cite

Compared with the standard depolarization index, indices of polarimetric purity (IPPs) have better performances to describe depolarization characteristics of targets with different roughnesses of interfaces under different incident angles, which allow us a further analysis of the depolarizing properties of samples. Here, we use IPPs obtained from different reflective interfaces as a criterion of depolarization property to characterize and classify targets covered by organic paint layers with different roughness. We select point-light source as radiation source with wavelength as 632.8 nm, and four samples, including Cu, Au, Al and Al2O3, covered by an organic paint layer with refractive index of n = 1.46 and Gaussian roughness of α = 0.05~0.25. Under different incident angles, the values of P1, P2, P3 at divided 90 × 360 grid points and their mean values in upper hemisphere have been obtained and discussed in the IPPs space. The results show that the depolarization performances of the different reflective interfaces (materials, incident angles and surface roughness) are unique in IPPs space, providing us with a new avenue to analyze and characterize different targets.

show abstract

Long wave infrared polarimetric model: theory, measurements and parameters

Cited by 34 publications

References 9 publications

STD: Student's t-Distribution of Slopes for Microfacet Based BSDFs

STD: Student's t-Distribution of Slopes for Microfacet Based BSDFs

Results of a new polarimetric BRDF simulation of metallic surfaces

Depolarization Characteristics of Different Reflective Interfaces Indicated by Indices of Polarimetric Purity (IPPs)

Contact Info

Product

Resources

About