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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-KellyIn 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
Event
Australian Pattern Recognition Society. Conference (2013 : Hobart, Tas.)Series
Australian Pattern Recognition Society ConferencePagination
80 - 87Publisher
Institute of Electrical and Electronics EngineersLocation
Hobart, Tas.Place of publication
Piscataway, N.J.Publisher DOI
Start date
2013-11-26End date
2013-11-28ISBN-13
978-1-4799-2126-3Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2013, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
DICTA 2013 : Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and ApplicationsUsage metrics
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No categories selectedKeywords
Rough surfacesSurface roughnessOptical surface wavesMathematical modelRefractive indexImage reconstructionVectorsScience & TechnologyTechnologyComputer Science, Interdisciplinary ApplicationsEngineering, Electrical & ElectronicImaging Science & Photographic TechnologyComputer ScienceEngineeringMATERIAL CLASSIFICATIONREFLECTIONMODEL
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