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dc.contributor.authorMartínez Usó, Adolfo
dc.contributor.authorLatorre Carmona, Pedro
dc.contributor.authorMartínez Sotoca, José
dc.contributor.authorPla, Filiberto
dc.contributor.authorJavidi, Bahram
dc.date.accessioned2017-02-27T11:20:40Z
dc.date.available2017-02-27T11:20:40Z
dc.date.issued2016-10
dc.identifier.citationMARTINEZ-USO, Adolfo, et al. Depth estimation in Integral Imaging based on a maximum voting strategy. Journal of Display Technology, 2016, Volume: 12, Issue: 12, pp: 1715 - 1723ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/166299
dc.description.abstractAn approach that uses the scene information acquired by means of a three-dimensional (3D) synthetic aperture integral imaging system is presented. This method generates a depth map of the scene through a voting strategy. In particular, we consider the information given by each camera of the array for each pixel, and also the local information in the neighbourhood of that pixel. The proposed method obtains consistent results for any type of object surfaces as well as very sharp boundaries. In addition, we also contribute in this paper with a repository of a set of synthetic integral images generated by 3DS Max where the so-called ground truth (real-true depth map) is available. This resource can be used as a benchmark to test any Integral Imaging based range estimation method.ca_CA
dc.description.sponsorShipThis work was supported in part by the Spanish Ministry of Economy and Competitiveness (MINECO) under the projects SEOSAT (ESP2013-48458-C4-3-P) and MTM2013-48371-C2-2-P, in part by the Generalitat Valenciana through the project PROMETEO-II-2014-062, and in part by the University Jaume I through the project UJI-P11B2014-09. The work of B. Javidi was supported by the National Science Foundation under Grant NSF/IIS-1422179.ca_CA
dc.format.extent9 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)ca_CA
dc.relation.isPartOfJournal of Display Technology Volume: 12, Issue: 12, Dec. 2016ca_CA
dc.rights© Copyright 2017 IEEE - All rights reserved.ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subject3D reconstructionca_CA
dc.subjectDepth mapca_CA
dc.subjectintegral imagingca_CA
dc.subjectthree-dimensional imagingca_CA
dc.titleDepth Estimation in Integral Imaging Based on a Maximum Voting Strategyca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1109/JDT.2016.2615565
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://ieeexplore.ieee.org/document/7587369/?section=abstract&part=1ca_CA
dc.type.versioninfo:eu-repo/semantics/acceptedVersion


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