Context‐Aware Mixed Reality: A Learning‐Based Framework for Semantic‐Level Interaction
Loading...
Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd
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.
Description
@article{10.1111:cgf.13887,
journal = {Computer Graphics Forum},
title = {{Context‐Aware Mixed Reality: A Learning‐Based Framework for Semantic‐Level Interaction}},
author = {Chen, L. and Tang, W. and John, N. W. and Wan, T. R. and Zhang, J. J.},
year = {2020},
publisher = {© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13887}
}