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Binocular mobile augmented reality based on stereo camera tracking

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dc.contributor.authorPark, Jungsik-
dc.contributor.authorSeo, Byung-Kuk-
dc.contributor.authorPark, Jong-Il-
dc.date.accessioned2022-07-13T12:03:13Z-
dc.date.available2022-07-13T12:03:13Z-
dc.date.created2021-05-12-
dc.date.issued2017-09-
dc.identifier.issn1861-8200-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151709-
dc.description.abstractMobile augmented reality (AR) applications have become feasible with the evolution of mobile hardware. For example, the advent of the smartphone allowed implementing real-time mobile AR, which triggered the release of various applications. Recently, rapid development of display technology, especially for stereoscopic displays, has encouraged researches to implement more immersive and realistic AR. In this paper, we present a framework of binocular augmented reality based on stereo camera tracking. Our framework was implemented on a smartphone and supports autostereoscopic display and video see-through display in which a smartphone can be docked. We modified edge-based 3-D object tracking in order to estimate poses of left and right cameras jointly; this guarantees consistent registration across left and right views. Then, virtual contents were overlaid onto camera images using estimated poses, and the augmented stereo images were distorted to be shown through a video see-through display. The feasibility of the proposed framework is shown by experiments and demonstrations.-
dc.language영어-
dc.language.isoen-
dc.publisherSPRINGER HEIDELBERG-
dc.titleBinocular mobile augmented reality based on stereo camera tracking-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Jong-Il-
dc.identifier.doi10.1007/s11554-016-0640-9-
dc.identifier.scopusid2-s2.0-84991106597-
dc.identifier.wosid000411714000012-
dc.identifier.bibliographicCitationJOURNAL OF REAL-TIME IMAGE PROCESSING, v.13, no.3, pp.571 - 580-
dc.relation.isPartOfJOURNAL OF REAL-TIME IMAGE PROCESSING-
dc.citation.titleJOURNAL OF REAL-TIME IMAGE PROCESSING-
dc.citation.volume13-
dc.citation.number3-
dc.citation.startPage571-
dc.citation.endPage580-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.subject.keywordAuthorMobile augmented reality-
dc.subject.keywordAuthorStereoscopic display-
dc.subject.keywordAuthorVideo see-through display-
dc.subject.keywordAuthorStereo camera tracking-
dc.subject.keywordAuthorModel-based tracking-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs11554-016-0640-9-
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COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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