Depth and All-in-Focus Image Estimation in Synthetic Aperture Integral Imaging Under Partial Occlusions
Ver/ Abrir
Impacto
Scholar |
Otros documentos de la autoría: Martínez Sotoca, José; Latorre Carmona, Pedro; Pla, Filiberto; Javidi, Bahram
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Depth and All-in-Focus Image Estimation in Synthetic Aperture Integral Imaging Under Partial OcclusionsFecha de publicación
2018-12Editor
IEEECita bibliográfica
SOTOCA, Jose M., et al. Depth and all-in-focus image estimation in Synthetic Aperture Integral Imaging under partial occlusions. IEEE Access, 2018.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://ieeexplore.ieee.org/document/8572694Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
A common assumption in the integral imaging reconstruction is that a pixel will be photo-consistent if all viewpoints observed by the different cameras converge at a single point when focusing at the proper depth. ... [+]
A common assumption in the integral imaging reconstruction is that a pixel will be photo-consistent if all viewpoints observed by the different cameras converge at a single point when focusing at the proper depth. However, the presence of occlusions between objects in the scene prevents this from being fulfilled. In this paper, a novel depth and all-in focus image estimation method is presented, based on a photo-consistency measure that uses the median criterion in relation to the elemental images. The interest of this approach is to find a solution to detect which camera correctly sees the partially occluded object at a certain depth and allows for a precise solution to the object depth. In addition, a robust solution is proposed to detect the boundary limits between partially occluded objects, which are subsequently used during the regularization depth estimation process. The experimental results show that the proposed method outperforms other state-of-the-art depth estimation methods in a synthetic aperture integral imaging framework. [-]
Proyecto de investigación
Spanish Ministry of Economy and Competitiveness (MINECO) (Project SEOSAT ESP2013-48458-C4-3-P and Project MTM2013-48371-C2-2-PDGI) ; Generalitat Valenciana (Project PROMETEO-II-2014-062) ; University Jaume I (Project UJIP11B2014-09) ; Office of Naval Research (Grant N000141712561 and Grant N000141712405) and Air Force Office of Scientific Research (Grant FA9550-18-1-0338).Derechos de acceso
© Copyright IEEE. Translations and content mining are permitted for academic research only.
Personal use is also permitted, but republication/redistribution requires IEEE permission.
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- INIT_Articles [743]
El ítem tiene asociados los siguientes ficheros de licencia: