Hybrid light field imaging for improved spatial resolution and depth range
| dc.authorid | 0000-0003-0779-9620 | |
| dc.contributor.author | Alam, Muhammad Zeshan | |
| dc.contributor.author | Güntürk, Bahadır Kürşat | |
| dc.date.accessioned | 10.07.201910:49:13 | |
| dc.date.accessioned | 2019-07-10T20:01:40Z | |
| dc.date.available | 10.07.201910:49:13 | |
| dc.date.available | 2019-07-10T20:01:40Z | |
| dc.date.issued | 2018 | |
| dc.department | İstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | |
| dc.description | WOS: 000419583600002 | |
| dc.description.abstract | Light 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. | |
| dc.description.sponsorship | TUBITAK [114E095] | en_US |
| dc.description.sponsorship | This work is supported by TUBITAK Grant 114E095. | en_US |
| dc.identifier.citation | Alam, 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/s00138-017-0862-2 | |
| dc.identifier.doi | 10.1007/s00138-017-0862-2 | |
| dc.identifier.endpage | 22 | |
| dc.identifier.issn | 0932-8092 | |
| dc.identifier.issn | 1432-1769 | |
| dc.identifier.issue | 1 | |
| dc.identifier.scopusquality | Q2 | |
| dc.identifier.startpage | 11 | |
| dc.identifier.uri | https://dx.doi.org/10.1007/s00138-017-0862-2 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12511/3394 | |
| dc.identifier.volume | 29 | |
| dc.identifier.wosquality | Q3 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Springer | |
| dc.relation.ec | info:eu-repo/grantAgreement/TUBITAK/SOBAG/114E095 | |
| dc.relation.ispartof | Machine Vision and Applications | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/embargoedAccess | |
| dc.subject | Light Field Imaging | |
| dc.subject | Hybrid Stereo Imaging | |
| dc.subject | Light Field Resolution Enhancement | |
| dc.title | Hybrid light field imaging for improved spatial resolution and depth range | |
| dc.type | Article |
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