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dc.contributor.authorLatorre Carmona, Pedro
dc.contributor.authorJavidi, Bahram
dc.contributor.authorLeMaster, Daniel
dc.date.accessioned2015-07-03T09:30:05Z
dc.date.available2015-07-03T09:30:05Z
dc.date.issued2015-07-03
dc.identifier.issn1551-319X
dc.identifier.urihttp://hdl.handle.net/10234/126126
dc.description.abstractIntegral Imaging under photon counting conditions has found different three-dimensional (3D) imaging applications, including 3D image reconstruction and recognition. In this letter, we present the application of the maximum likelihood (ML) estimation method for visualization of 3D scenes in photon starved environments using Mid-Wave Infrared 3D data of real scenes acquired at distances ranging from 50m to more than 2km. To the best of our knowledge, this is the first report on Mid-Wave Infrared 3D photon counting integral imaging of distant scenes.ca_CA
dc.format.extent6 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.relation.isPartOfJournal of Display Technology (Volume:PP , Issue: 99 ), 2014ca_CA
dc.rights© Copyright 2015 IEEE - All rights reserved.ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectComputational integral imaging (CII)ca_CA
dc.subjectinfrared imagingca_CA
dc.subjectpassive 3-D imagingca_CA
dc.subjectphoton countingca_CA
dc.titleThree Dimensional Visualization of Long Range Scenes by Photon Counting Mid-Wave Infrared Integral Imagingca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1109/JDT.2014.2384478
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6994211ca_CA
dc.type.versioninfo:eu-repo/semantics/acceptedVersionca_CA


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