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 language | English (US) |
|---|---|
| Pages (from-to) | 29432-29453 |
| Number of pages | 22 |
| Journal | Optics Express |
| Volume | 25 |
| Issue number | 23 |
| DOIs | |
| State | Published - Nov 13 2017 |
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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 journal › Article
}
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 -