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dc.contributor.authorRuiz, Kevin-
dc.coverage.spatialEvent: SPIE Optical Engineering + Applications, 2020, Online Onlyes_ES
dc.date.accessioned2021-02-07T19:22:04Z-
dc.date.available2021-02-07T19:22:04Z-
dc.date.issued2020-08-
dc.identifier.citationKevin Ruiz, Kenia Picos, and Ulises Orozco-Rosas "Analysis of three-dimensional object reconstruction algorithms based on multi-camera arrays", Proc. SPIE 11509, Optics and Photonics for Information Processing XIV, 115090E (21 August 2020); https://doi.org/10.1117/12.2568788es_ES
dc.identifier.urihttps://repositorio.cetys.mx/handle/60000/955-
dc.description.abstractIn this paper, we present a reliable method for three-dimensional object reconstruction based on multi-camera sensor arrays. Camera arrays are an efficient strategy for high-performance imaging and view interpolation. However, challenges can be present such as data size, real-time processing, and the need for automatic calibration. We analyze several methods for three-dimensional object digitalization using camera arrays. This analysis will help us to compare different algorithms and combine several 3D reconstruction methods in a different, efficient and quick way. Experimental results are presented using real and synthetic laboratory objects in terms of objective metrics for 3D reconstruction accuracy. The robustness of these methods for real applications is discussed.es_ES
dc.language.isoen_USes_ES
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/mx/*
dc.subjectReconstruction algorithmes_ES
dc.subject3D image processinges_ES
dc.subjectCloudses_ES
dc.subject3D modelinges_ES
dc.subjectVisualizationes_ES
dc.titleAnalysis of three-dimensional object reconstruction algorithms based on multi-camera arrayses_ES
dc.typePresentationes_ES
dc.contributor.aditionalPicos, Kenia-
dc.contributor.aditionalOrozco Rosas, Ulises-
dc.description.urlhttps://doi.org/10.1117/12.2568788es_ES
dc.identifier.doihttps://doi.org/10.1117/12.2568788-
dc.subject.sedeCampus Tijuanaes_ES
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