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dc.date2018
dc.date.accessioned2025-08-27T05:20:20Z-
dc.date.available2025-08-27T05:20:20Z-
dc.date.issued2018
dc.identifier.identifierDspace\SGAU\20181112\72391
dc.identifier.citationRuchay AN, Dorofeev KA, Kolpakov VI. Fusion of information from multiple Kinect sensors for 3D object reconstruction. Computer Optics 2018; 42(5): 898-903. DOI: 10.18287/2412-6179-2018-42-5-898-903.
dc.identifier.urihttps://dx.doi.org/10.18287/2412-6179-2018-42-5-898-903
dc.identifier.urihttp://repo.ssau.ru/jspui/handle/123456789/22370-
dc.description.abstractIn this paper, we estimate the accuracy of 3D object reconstruction using multiple Kinect sensors. First, we discuss the calibration of multiple Kinect sensors, and provide an analysis of the accuracy and resolution of the depth data. Next, the precision of coordinate mapping between sensors data for registration of depth and color images is evaluated. We test a proposed system for 3D object reconstruction with four Kinect V2 sensors and present reconstruction accuracy results. Experiments and computer simulation are carried out using Matlab and Kinect V2.
dc.description.sponsorshipThe Russian Science Foundation (project #17-76-20045) financially supported the work.
dc.languageen_US
dc.publisherНовая техника
dc.relation.ispartofseries42;5
dc.titleFusion of information from multiple Kinect sensors for 3D object reconstruction
dc.typeArticle
dc.identifier.scsti28.17.19
local.identifier.oldurihttp://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Fusion-of-information-from-multiple-Kinect-sensors-for-3D-object-reconstruction-72391
local.identifier.oldurihttp://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Fusion-of-information-from-multiple-Kinect-sensors-for-3D-object-reconstruction-72391
Appears in Collections:Журнал "Компьютерная оптика"

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