Context-Aware Mixed Reality: A Learning-Based Framework for Semantic-Level Interaction
Authors: Chen, L., Tang, W., John, N.W., Wan, T.R., Zhang, J.J.
Journal: Computer Graphics Forum
Publication Date: 01/02/2020
Volume: 39
Issue: 1
Pages: 484-496
eISSN: 1467-8659
ISSN: 0167-7055
DOI: 10.1111/cgf.13887
Abstract:Mixed 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 behaviours, 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.
https://eprints.bournemouth.ac.uk/32880/
Source: Scopus
Context-Aware Mixed Reality: A Learning-Based Framework for Semantic-Level Interaction
Authors: Chen, L., Tang, W., John, N.W., Wan, T.R., Zhang, J.J.
Journal: COMPUTER GRAPHICS FORUM
Publication Date: 02/2020
Volume: 39
Issue: 1
Pages: 484-496
eISSN: 1467-8659
ISSN: 0167-7055
DOI: 10.1111/cgf.13887
https://eprints.bournemouth.ac.uk/32880/
Source: Web of Science
Context-Aware Mixed Reality: A Learning-based Framework for Semantic-level Interaction
Authors: Chen, L., Tang, W., John, N.W., Wan, T.R., Zhang, J.J.
Journal: Computer Graphics Forum
Publication Date: 30/10/2019
Publisher: Wiley-Blackwell
Abstract:Mixed 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 critical 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.
https://eprints.bournemouth.ac.uk/32880/
https://onlinelibrary.wiley.com/journal/14678659
Source: Manual