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Reconstructing polarisation components from unpolarised images

conference contribution
posted on 2013-01-01, 00:00 authored by Lin Gu, Cong Phuoc Huynh, Antonio Robles-KellyAntonio Robles-Kelly
In this paper, we develop a method for reconstruct- ing the polarisation components from unpolarised imagery. Our approach rests on a model of polarisation which accounts for reflection from rough surfaces illuminated at moderate and large angles of incidence. Departing from the microfacet structure of rough surfaces, we relate the maximal and minimal polarimetric intensities to the diffuse and specular components of an un-polarised image via the Fresnel reflection theory. This allows us to reconstruct the polarimetric components from a single unpolarised image. Thus, the model presented here provides a link between the microfacet structure and polarisation of light upon reflection from rough surfaces. We evaluate the accuracy of the reconstructed polarisation components and illustrate the utility of the method for the simulation of a polarising filter on real-world images.

History

Pagination

80-87

Location

Hobart, Tas.

Start date

2013-11-26

End date

2013-11-28

ISBN-13

978-1-4799-2126-3

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2013, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

DICTA 2013 : Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications

Event

Australian Pattern Recognition Society. Conference (2013 : Hobart, Tas.)

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

Piscataway, N.J.

Series

Australian Pattern Recognition Society Conference

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