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dc.contributor.authorChen, Long
dc.contributor.authorTang, Wen
dc.contributor.authorZhang, Jian Jun
dc.contributor.authorJohn, Nigel W.
dc.date.accessioned2019-10-30T12:43:29Z
dc.date.available2019-10-30T12:43:29Z
dc.date.issued2019-11-14
dc.identifier.citationChen, L., Tang, W., John, N, W., Wan, T, R. & Zhang, J, J. (2019). Context-Aware Mixed Reality: A Learning-based Framework for Semantic-level Interaction. Computer Graphics Forum, 39(1), 484-496.en_US
dc.identifier.issn0167-7055
dc.identifier.doi10.1111/cgf.13887
dc.identifier.urihttp://hdl.handle.net/10034/622767
dc.descriptionThis is the peer reviewed version of the following article: Chen, L., Tang, W., John, N, W., Wan, T, R. & Zhang, J, J. (2019). Context-Aware Mixed Reality: A Learning-based Framework for Semantic-level Interaction. Computer Graphics Forum, which has been published in final form at https://doi.org/10.1111/cgf.13887. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versionsen_US
dc.description.abstractMixed Reality (MR) is a powerful interactive technology for new types of user experience. We present a semantic-based interactive MR framework that is beyond current geometry-based approaches, offering a step change in generating high-level context-aware interactions. Our key insight is that by building semantic understanding in MR, we can develop a system that not only greatly enhances user experience through object-specific behaviors, but also it paves the way for solving complex interaction design challenges. In this paper, our proposed framework generates semantic properties of the real-world environment through a dense scene reconstruction and deep image understanding scheme. We demonstrate our approach by developing a material-aware prototype system for context-aware physical interactions between the real and virtual objects. Quantitative and qualitative evaluation results show that the framework delivers accurate and consistent semantic information in an interactive MR environment, providing effective real-time semantic level interactions.en_US
dc.publisherWiley Online Libraryen_US
dc.relation.urlhttps://onlinelibrary.wiley.com/journal/14678659en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectMixed Realityen_US
dc.subjectScene Undersatandingen_US
dc.subjectInteraction Designen_US
dc.titleContext-Aware Mixed Reality: A Learning-based Framework for Semantic-level Interactionen_US
dc.typeArticleen_US
dc.identifier.eissn1467-8659en_US
dc.contributor.departmentBournemouth University; University of Chester; University of Bradforden_US
dc.identifier.journalComputer Graphics Forumen_US
or.grant.openaccessYesen_US
rioxxterms.funderunfundeden_US
rioxxterms.identifier.projectunfundeden_US
rioxxterms.versionAMen_US
rioxxterms.versionofrecordhttp://doi.org/10.1111/cgf.13887
rioxxterms.licenseref.startdate2020-11-14
atmire.accessrightsWan, Tao R.
rioxxterms.publicationdate2019-11-14
dc.dateAccepted2019-10-01
dc.date.deposited2019-10-30en_US


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