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MR Environments Constructed for a Large Indoor Physical Space

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Advances in Computer Graphics (CGI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12221))

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Abstract

To resolve the problem that existing mixed reality (MR) apparatus are unable to scan and model a large and complex indoor scene at once, we present a powerful toolkit for constructing MR environment easily. Our toolkit establishes and maintains accurate mapping between the virtual and physical space, and sets the occlusion relationships of the walls. Additionally, we design spatial anchor deployment strategy supporting deviation correction between the real and virtual spaces, so that the spatial anchors can maintain a virtual object’s location and orientation in the real world. Our experiments and applications show that the toolkit is convenient for constructing MR apps targeting large physical spaces in which users can roam in real time.

Supported by the National Key Research and Development Program of China under Grant 2018YFC0831003, the National Natural Science Foundation of China under Grant 61972233 and the National Natural Science Foundation of China under Grant 61902225.

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Correspondence to Chenglei Yang .

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Xing, H. et al. (2020). MR Environments Constructed for a Large Indoor Physical Space. In: Magnenat-Thalmann, N., et al. Advances in Computer Graphics. CGI 2020. Lecture Notes in Computer Science(), vol 12221. Springer, Cham. https://doi.org/10.1007/978-3-030-61864-3_12

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  • DOI: https://doi.org/10.1007/978-3-030-61864-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61863-6

  • Online ISBN: 978-3-030-61864-3

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