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dc.contributor.authorAlam, Muhammad Zeshan
dc.contributor.authorGüntürk, Bahadır Kürşat
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T20:01:40Z
dc.date.available10.07.201910:49:13
dc.date.available2019-07-10T20:01:40Z
dc.date.issued2018en_US
dc.identifier.citationAlam, M. ve Güntürk, B. K. (2018). Hybrid light field imaging for improved spatial resolution and depth range. Machine Vision and Applications, 29(1), 11-22. https://dx.doi.org/10.1007/s00138-017-0862-2en_US
dc.identifier.issn0932-8092
dc.identifier.issn1432-1769
dc.identifier.urihttps://dx.doi.org/10.1007/s00138-017-0862-2
dc.identifier.urihttps://hdl.handle.net/20.500.12511/3394
dc.descriptionWOS: 000419583600002en_US
dc.description.abstractLight field imaging involves capturing both angular and spatial distribution of light; it enables new capabilities, such as post-capture digital refocusing, camera aperture adjustment, perspective shift, and depth estimation. Micro-lens array (MLA)-based light field cameras provide a cost-effective approach to light field imaging. There are two main limitations of MLA-based light field cameras: low spatial resolution and narrow baseline. While low spatial resolution limits the general purpose use and applicability of light field cameras, narrow baseline limits the depth estimation range and accuracy. In this paper, we present a hybrid stereo imaging system that includes a light field camera and a regular camera. The hybrid system addresses both spatial resolution and narrow baseline issues of the MLA-based light field cameras while preserving light field imaging capabilities.en_US
dc.description.sponsorshipTUBITAK [114E095]en_US
dc.description.sponsorshipThis work is supported by TUBITAK Grant 114E095.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectLight Field Imagingen_US
dc.subjectHybrid Stereo Imagingen_US
dc.subjectLight Field Resolution Enhancementen_US
dc.titleHybrid light field imaging for improved spatial resolution and depth rangeen_US
dc.typearticleen_US
dc.relation.ispartofMachine Vision and Applicationsen_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.authorid0000-0003-0779-9620en_US
dc.identifier.volume29en_US
dc.identifier.issue1en_US
dc.identifier.startpage11en_US
dc.identifier.endpage22en_US
dc.relation.ecinfo:eu-repo/grantAgreement/TUBITAK/SOBAG/114E095en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1007/s00138-017-0862-2en_US
dc.identifier.wosqualityQ3en_US


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