dc.contributorPicos, Kenia
dc.contributorOrozco Rosas, Ulises
dc.creatorRuiz, Kevin
dc.date.accessioned2021-02-07T19:22:04Z
dc.date.accessioned2022-10-14T15:42:14Z
dc.date.available2021-02-07T19:22:04Z
dc.date.available2022-10-14T15:42:14Z
dc.date.created2021-02-07T19:22:04Z
dc.date.issued2020-08
dc.identifierKevin 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/10.1117/12.2568788
dc.identifierhttps://repositorio.cetys.mx/handle/60000/955
dc.identifierhttps://doi.org/10.1117/12.2568788
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4255827
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.
dc.languageen_US
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/2.5/mx/
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México
dc.subjectReconstruction algorithm
dc.subjectcameras
dc.subject3D image processing
dc.subjectclouds
dc.subject3D modeling
dc.subjectVisualization
dc.titleAnalysis of three-dimensional object reconstruction algorithms based on multi-camera arrays
dc.typePresentation


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