Real-time robust direct and indirect photon separation with polarization imaging

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Separation of reflections, such as superimposed scenes behind and in front of a glass window and semi-diffuse surfaces, permits the imaging of objects that are not in direct line of sight and field of view. Existing separation techniques are often computational intensive, time consuming, and not easily applicable to real-time, outdoor situations. In this work, we apply Stokes algebra and Mueller calculus formulae with a novel edge-based correlation technique to the problem of separating reflections in the visible, near infrared, and long wave infrared wavelengths. Our method exploits spectral information and patch-wise operation for improved robustness and can be applied to optically smooth reflecting and partially transmitting surfaces such as glass and optically semi-diffuse surfaces such as floors, glossy paper, and white painted walls. We demonstrate robust image separation in a variety of indoor and outdoor scenes and real-time acquisition using a division-of-focal plane polarization camera.

Original languageEnglish (US)
Pages (from-to)29432-29453
Number of pages22
JournalOptics Express
Volume25
Issue number23
DOIs
StatePublished - Nov 13 2017

Fingerprint

photons
polarization
glass
spectral methods
calculus
planetary waves
line of sight
division
field of view
acquisition
algebra
cameras
wavelengths

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Real-time robust direct and indirect photon separation with polarization imaging. / Ding, Yitian; Ashok, Amit; Pau, Stanley K H.

In: Optics Express, Vol. 25, No. 23, 13.11.2017, p. 29432-29453.

Research output: Contribution to journalArticle

@article{2d511ed8b61347089eaccc231ccaf672,
title = "Real-time robust direct and indirect photon separation with polarization imaging",
abstract = "Separation of reflections, such as superimposed scenes behind and in front of a glass window and semi-diffuse surfaces, permits the imaging of objects that are not in direct line of sight and field of view. Existing separation techniques are often computational intensive, time consuming, and not easily applicable to real-time, outdoor situations. In this work, we apply Stokes algebra and Mueller calculus formulae with a novel edge-based correlation technique to the problem of separating reflections in the visible, near infrared, and long wave infrared wavelengths. Our method exploits spectral information and patch-wise operation for improved robustness and can be applied to optically smooth reflecting and partially transmitting surfaces such as glass and optically semi-diffuse surfaces such as floors, glossy paper, and white painted walls. We demonstrate robust image separation in a variety of indoor and outdoor scenes and real-time acquisition using a division-of-focal plane polarization camera.",
author = "Yitian Ding and Amit Ashok and Pau, {Stanley K H}",
year = "2017",
month = "11",
day = "13",
doi = "10.1364/OE.25.029432",
language = "English (US)",
volume = "25",
pages = "29432--29453",
journal = "Optics Express",
issn = "1094-4087",
publisher = "The Optical Society",
number = "23",

}

TY - JOUR

T1 - Real-time robust direct and indirect photon separation with polarization imaging

AU - Ding, Yitian

AU - Ashok, Amit

AU - Pau, Stanley K H

PY - 2017/11/13

Y1 - 2017/11/13

N2 - Separation of reflections, such as superimposed scenes behind and in front of a glass window and semi-diffuse surfaces, permits the imaging of objects that are not in direct line of sight and field of view. Existing separation techniques are often computational intensive, time consuming, and not easily applicable to real-time, outdoor situations. In this work, we apply Stokes algebra and Mueller calculus formulae with a novel edge-based correlation technique to the problem of separating reflections in the visible, near infrared, and long wave infrared wavelengths. Our method exploits spectral information and patch-wise operation for improved robustness and can be applied to optically smooth reflecting and partially transmitting surfaces such as glass and optically semi-diffuse surfaces such as floors, glossy paper, and white painted walls. We demonstrate robust image separation in a variety of indoor and outdoor scenes and real-time acquisition using a division-of-focal plane polarization camera.

AB - Separation of reflections, such as superimposed scenes behind and in front of a glass window and semi-diffuse surfaces, permits the imaging of objects that are not in direct line of sight and field of view. Existing separation techniques are often computational intensive, time consuming, and not easily applicable to real-time, outdoor situations. In this work, we apply Stokes algebra and Mueller calculus formulae with a novel edge-based correlation technique to the problem of separating reflections in the visible, near infrared, and long wave infrared wavelengths. Our method exploits spectral information and patch-wise operation for improved robustness and can be applied to optically smooth reflecting and partially transmitting surfaces such as glass and optically semi-diffuse surfaces such as floors, glossy paper, and white painted walls. We demonstrate robust image separation in a variety of indoor and outdoor scenes and real-time acquisition using a division-of-focal plane polarization camera.

UR - http://www.scopus.com/inward/record.url?scp=85033571681&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85033571681&partnerID=8YFLogxK

U2 - 10.1364/OE.25.029432

DO - 10.1364/OE.25.029432

M3 - Article

AN - SCOPUS:85033571681

VL - 25

SP - 29432

EP - 29453

JO - Optics Express

JF - Optics Express

SN - 1094-4087

IS - 23

ER -