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Integration of Multi-scale Spatial Digital Twins in Metaverse Based on Multi-dimensional Hash Geocoding

Published: 07 June 2024 Publication History

Abstract

With the popularization of the metaverse, virtual reality mapping technology based on digital twins has generated a large amount of spatial data. These data are multidimensional, multi-scale, mobile, and distributed. In order to fully utilize these data, we propose a non mutation multidimensional hash geocoding that can organize and store data with geographic features, and achieve data mapping at different scales from macro to micro. The mapping between them can achieve joint utilization of data of various scales. On this basis, we propose a block network secure storage mapping model for spatial digital twins, which can securely and reliably organize and map spatial data. This article also looks forward to the possible emergence of digital twins of different dimensions and scales in the future metaverse, and proposes an adaptive 3D reconstruction method based on this to adapt to digital twins models of different scales in the metaverse. On the basis of our work, we will further promote the development of the spatial digital twin metaverse.

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  1. Integration of Multi-scale Spatial Digital Twins in Metaverse Based on Multi-dimensional Hash Geocoding

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      cover image ACM Conferences
      IMX '24: Proceedings of the 2024 ACM International Conference on Interactive Media Experiences
      June 2024
      465 pages
      ISBN:9798400705038
      DOI:10.1145/3639701
      • Editors:
      • Asreen Rostami,
      • Donald McMillan,
      • Jonathan Hook,
      • Irene Viola,
      • Jun Nishida,
      • Hanuma Teja Maddali,
      • Alexis Clay
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 07 June 2024

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      Author Tags

      1. 3D reconstruction
      2. Digital Twins
      3. Hash Geocoding
      4. Metaverse

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