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dc.date2018
dc.date.accessioned2025-08-22T12:19:30Z-
dc.date.available2025-08-22T12:19:30Z-
dc.date.issued2018
dc.identifier.identifierDspace\SGAU\20180514\69188
dc.identifier.citationRuchay A.N. Fusion of information from multiple Kinect sensorsfor 3D object reconstruction / A.N. Ruchay, K.A. Dorofeev, V.I. Kolpakov // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.1221-1226
dc.identifier.urihttp://repo.ssau.ru/jspui/handle/123456789/13934-
dc.descriptionОсновная статья
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 its the depth data. Next, the precision of coordinate mapping between sensors data for registration of depth and color images is evaluated. We test a system with four Kinect V2 sensors and present reconstruction accuracy results. Experiments and computer simulation are carried out using Matlab and Kinect V2.
dc.languageen
dc.publisherНовая техника
dc.titleFusion of information from multiple Kinect sensors for 3D object reconstruction
dc.typeArticle
local.contributor.authorKolpakov V.I.
local.identifier.oldurihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Fusion-of-information-from-multiple-Kinect-sensors-for-3D-object-reconstruction-69188
local.identifier.oldurihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Fusion-of-information-from-multiple-Kinect-sensors-for-3D-object-reconstruction-69188
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