Polarimetric 3D integral imaging in photon-starved conditions

We develop a method for obtaining 3D polarimetric integral images from elemental images recorded in low light illumination conditions. Since photon-counting images are very sparse, calculation of the Stokes parameters and the degree of polarization should be handled carefully. In our approach, polar...

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Detalhes bibliográficos
Autores: Carnicer González, Arturo, Javidi, Bahram
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2015
País:España
Recursos:Universidad de Barcelona
Repositório:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/66037
Acesso em linha:https://hdl.handle.net/2445/66037
Access Level:Acceso aberto
Palavra-chave:Visualització tridimensional
Polarització (Llum)
Fotons
Fotònica
Three-dimensional display systems
Polarization (Light)
Photons
Photonics
Descrição
Resumo:We develop a method for obtaining 3D polarimetric integral images from elemental images recorded in low light illumination conditions. Since photon-counting images are very sparse, calculation of the Stokes parameters and the degree of polarization should be handled carefully. In our approach, polarimetric 3D integral images are generated using the Maximum Likelihood Estimation and subsequently reconstructed by means of a Total Variation Denoising filter. In this way, polarimetric results are comparable to those obtained in conventional illumination conditions. We also show that polarimetric information retrieved from photon starved images can be used in 3D object recognition problems. To the best of our knowledge, this is the first report on 3D polarimetric photon counting integral imaging.