Propagation of polarized light through textile material

Peng, Bo; Ding, Tianhuai; Wang, Peng

doi:10.1364/ao.51.006325

Cited by 22 publications

(14 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, these models do not provide any connection between fabrication parameters and optical properties of the fibers; as we will show, these fabrication parameters have a major impact on the scattered field. [PDW12]. These approaches focus either on a few properties individually, or on particular types of fiber, and do not attempt to provide a general model suitable for computer graphics.…”

Section: Related Workmentioning

confidence: 99%

An Appearance Model for Textile Fibers

Aliaga

Castillo

Gutiérrez

et al. 2017

Computer Graphics Forum

View full text Add to dashboard Cite

Figure 1: Volumetric rendering of three fabric samples using our highly-detailed physically-based BCSDFs models. Our model is based on the optical and structural parameters particular of each cloth fiber. From left to right, a 2-ply knitted garter (7 twist/cm, 120 fibers/yarn) of cotton fibers, a single-ply woven satin made of silk (1 twist/cm, 30 fibers/yarn) and a 2-ply knitted garter (4 twist/cm, 160 fibers/yarn) made of polyester fibers. Silk and cotton pieces are colored with reactive dyes, and a disperse dye is used for polyester. AbstractAccurately modeling how light interacts with cloth is challenging, due to the volumetric nature of cloth appearance and its multiscale structure, where microstructures play a major role in the overall appearance at higher scales. Recently, significant effort has been put on developing better microscopic models for cloth structure, which have allowed rendering fabrics with unprecedented fidelity. However, these highly-detailed representations still make severe simplifications on the scattering by individual fibers forming the cloth, ignoring the impact of fibers' shape, and avoiding to establish connections between the fibers' appearance and their optical and fabrication parameters. In this work we put our focus in the scattering of individual cloth fibers; we introduce a physically-based scattering model for fibers based on their low-level optical and geometric properties, relying on the extensive textile literature for accurate data. We demonstrate that scattering from cloth fibers exhibits much more complexity than current fiber models, showing important differences between cloth type, even in averaged conditions due to longer views. Our model can be plugged in any framework for cloth rendering, matches scattering measurements from real yarns, and is based on actual parameters used in the textile industry, allowing predictive bottom-up definition of cloth appearance.

show abstract

Section: Related Workmentioning

confidence: 99%

An Appearance Model for Textile Fibers

Aliaga

Castillo

Gutiérrez

et al. 2017

Computer Graphics Forum

View full text Add to dashboard Cite

show abstract

“…3(b)]. Details about this regime have been described in our previous work [20] (here, the misprints of Eqs. (3) and (4) in Ref.…”

mentioning

confidence: 93%

Detection of colorless plastic contaminants hidden in cotton layer using chromatic polarization imaging

2015

View full text Add to dashboard Cite

A method of chromatic polarization imaging is presented for the online detection of colorless plastic contaminants from ginned cotton in an industrial setting. To understand the experimental results, we consider a realistic microscopic model, including the multiple scattering of anisotropic fibers and the light propagation in anisotropic slabs. A Monte Carlo code, based on the extended Jones matrix, is developed to simulate photon migration with polarization states, and phase information followed. Using simulations and experiments, we analyze the underlying mechanisms and evaluate the performance of this method with different layer thicknesses. Our approaches proposed in this Letter also have the potential to be applied in tissue imaging, remote sensing, and other scenarios.

show abstract

“…It may also apply to aerosol monitoring, taking advantage of polarization dependent scatter [3], and has been used for fruit quality control [4]. There is interest in employing polarization in the textile industry [5]. Polarimeter design is a an active area of research [6][7][8], and there have been recent advances for optimal linear methods and filter design for processing channeled polarimeters [6,9].…”

Section: Introductionmentioning

confidence: 99%

Compressed channeled spectropolarimetry

Lee¹,

LaCasse²,

Craven³

2017

Opt. Express

View full text Add to dashboard Cite

Channeled spectropolarimetry measures the spectrally resolved Stokes parameters. A key aspect of this technique is to accurately reconstruct the Stokes parameters from a modulated measurement of the channeled spectropolarimeter. The state-of-the-art reconstruction algorithm uses the Fourier transform to extract the Stokes parameters from channels in the Fourier domain. While this approach is straightforward, it can be sensitive to noise and channel cross-talk, and it imposes bandwidth limitations that cut off high frequency details. To overcome these drawbacks, we present a reconstruction method called compressed channeled spectropolarimetry. In our proposed framework, reconstruction in channeled spectropolarimetry is an underdetermined problem, where we take N measurements and solve for 3N unknown Stokes parameters. We formulate an optimization problem by creating a mathematical model of the channeled spectropolarimeter with inspiration from compressed sensing. We show that our approach offers greater noise robustness and reconstruction accuracy compared with the Fourier transform technique in simulations and experimental measurements. By demonstrating more accurate reconstructions, we push performance to the native resolution of the sensor, allowing more information to be recovered from a single measurement of a channeled spectropolarimeter.

show abstract

Propagation of polarized light through textile material

Cited by 22 publications

References 26 publications

An Appearance Model for Textile Fibers

An Appearance Model for Textile Fibers

Detection of colorless plastic contaminants hidden in cotton layer using chromatic polarization imaging

Compressed channeled spectropolarimetry

Contact Info

Product

Resources

About