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Multiple Sensor Synchronization with theRealSense RGB-D Camera

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dc.contributor.authorYoon, Hyunse-
dc.contributor.authorJang, Mingyu-
dc.contributor.authorHuh, Jungwoo-
dc.contributor.authorKang, Jiwoo-
dc.contributor.authorLee, Sanghoon-
dc.date.accessioned2023-11-08T11:49:32Z-
dc.date.available2023-11-08T11:49:32Z-
dc.date.issued2021-09-
dc.identifier.issn1424-8220-
dc.identifier.issn1424-3210-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/153003-
dc.description.abstractWhen reconstructing a 3D object, it is difficult to obtain accurate 3D geometric information using a single camera. In order to capture detailed geometric information of a 3D object, it is inevitable to increase the number of cameras to capture the object. However, cameras need to be synchronized in order to simultaneously capture frames. If cameras are incorrectly synchronized, many artifacts are produced in the reconstructed 3D object. The RealSense RGB-D camera, which is commonly used for obtaining geometric information of a 3D object, provides synchronization modes to mitigate synchronization errors. However, the synchronization modes provided by theRealSense cameras can only sync depth cameras and have limitations in the number of cameras that can be synchronized using a single host due to the hardware issue of stable data transmission. Therefore, in this paper, we propose a novel synchronization method that synchronizes an arbitrary number of RealSense cameras by adjusting the number of hosts to support stable data transmission. Our method establishes a master-slave architecture in order to synchronize the system clocks of the hosts. While synchronizing the system clocks, delays that resulted from the process of synchronization were estimated so that the difference between the system clocks could be minimi-
dc.format.extent20-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleMultiple Sensor Synchronization with theRealSense RGB-D Camera-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/s21186276-
dc.identifier.scopusid2-s2.0-85115065337-
dc.identifier.wosid000701098400001-
dc.identifier.bibliographicCitationSENSORS, v.21, no.18, pp 1 - 20-
dc.citation.titleSENSORS-
dc.citation.volume21-
dc.citation.number18-
dc.citation.startPage1-
dc.citation.endPage20-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistryEngineeringInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.subject.keywordPlusTIME SYNCRONIZATION-
dc.subject.keywordAuthorRGB-D camera-
dc.subject.keywordAuthor3D reconstruction-
dc.subject.keywordAuthorcamera synchronization-
dc.subject.keywordAuthortimestamp-
dc.subject.keywordAuthorsynchronization delay-
dc.identifier.urlhttps://www.mdpi.com/1424-8220/21/18/6276-
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공과대학 (인공지능공학부)
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