Pregled bibliografske jedinice broj: 1044819
Overcoming spatio-angular trade-off in light field acquisition using compressive sensing
Overcoming spatio-angular trade-off in light field acquisition using compressive sensing // Automatika, 61 (2020), 2; 250-259 doi:10.1080/00051144.2020.1715582 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1044819 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Overcoming spatio-angular trade-off in light field acquisition using compressive sensing
Autori
Dlab, Nicol ; Cimermančić, Filip ; Ralašić, Ivan ; Seršić, Damir
Izvornik
Automatika (0005-1144) 61
(2020), 2;
250-259
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Compressive sensing (CS) ; light field ; camera ; projector ; measurement setup ; sparse optimization
Sažetak
In contrast to conventional cameras which capture a 2D projection of a 3D scene by integrating the angular domain, light field cameras preserve the angular information of individual light rays by capturing a 4D light field of a scene. On the one hand, light field photography enables powerful post-capture capabilities such as refocusing, virtual aperture, depth sensing and perspective shift. On the other hand, it has several drawbacks, namely, high-dimensionality of the captured light fields and a fundamental trade-off between spatial and angular resolution in the camera design. In this paper, we propose a compressive sensing approach to light field acquisition from a sub-Nyquist number of samples. Using an off-the- shelf measurement setup consisting of a digital projector and a Lytro Illum light field camera, we demonstrate the efficiency of the compressive sensing approach by improving the spatial resolution of the acquired light field. This paper presents a proof of concept with a simplified 3D scene as the scene of interest. Results obtained by the proposed method show significant improvement in the spatial resolution of the light field as well as preserved post-capture capabilities.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2014-09-2625 - Iznad Nyquistove granice (BeyondLimit) (Seršić, Damir, HRZZ ) ( CroRIS)
HRZZ-IP-2019-04-6703 - Renesansa teorije uzorkovanja (SamplingRenaissance) (Seršić, Damir, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus