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Depth Estimation in Integral Imaging Based on a Maximum Voting Strategy
dc.contributor.author | Martínez Usó, Adolfo | |
dc.contributor.author | Latorre Carmona, Pedro | |
dc.contributor.author | Martínez Sotoca, José | |
dc.contributor.author | Pla, Filiberto | |
dc.contributor.author | Javidi, Bahram | |
dc.date.accessioned | 2017-02-27T11:20:40Z | |
dc.date.available | 2017-02-27T11:20:40Z | |
dc.date.issued | 2016-10 | |
dc.identifier.citation | MARTINEZ-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 - 1723 | ca_CA |
dc.identifier.uri | http://hdl.handle.net/10234/166299 | |
dc.description.abstract | An 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.sponsorShip | This 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.extent | 9 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | ca_CA |
dc.relation.isPartOf | Journal of Display Technology Volume: 12, Issue: 12, Dec. 2016 | ca_CA |
dc.rights | © Copyright 2017 IEEE - All rights reserved. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | 3D reconstruction | ca_CA |
dc.subject | Depth map | ca_CA |
dc.subject | integral imaging | ca_CA |
dc.subject | three-dimensional imaging | ca_CA |
dc.title | Depth Estimation in Integral Imaging Based on a Maximum Voting Strategy | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.1109/JDT.2016.2615565 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | http://ieeexplore.ieee.org/document/7587369/?section=abstract&part=1 | ca_CA |
dc.type.version | info:eu-repo/semantics/acceptedVersion |
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