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Geospatial Data Holographic Rendering Using Windows Mixed Reality

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E-Learning and Games (Edutainment 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11462))

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Abstract

Extracting geographical information from geospatial data has a high priority for all geographic activities which needs powerful tools of visualization. In this paper, a holographic approach is proposed to bridge the gap between mixed reality and virtual world rendering. It envisages the georeferenced raster-based data which are integrated into a virtual world which assembles data from different sources and could be projected them into the real world in order to enhance extracting visually the interesting geographical information. Experiment achieved on the HoloLens. This method will add holographic to improve data observation and to enrich the geographic edutainment.

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Author information

Authors and Affiliations

  1. State Key Laboratory for Virtual Reality and Systems, School of Computer Science, Beihang University, Beijing, 100191, China

    Amira Nasr Eddine & Pan Junjun

Authors
  1. Amira Nasr Eddine
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  2. Pan Junjun
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Corresponding author

Correspondence to Amira Nasr Eddine .

Editor information

Editors and Affiliations

  1. Liverpool John Moores University, Liverpool, UK

    Abdennour El Rhalibi

  2. Hangzhou Normal University, Hangzhou, China

    Zhigeng Pan

  3. Xi’an University of Technology, Xi’an, China

    Haiyan Jin

  4. Hangzhou Normal University, Hangzhou, China

    Dandan Ding

  5. Pontificia Universidad Javeriana, Cali, Colombia

    Andres A. Navarro-Newball

  6. Xi’an University of Technology, Xi’an, China

    Yinghui Wang

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Nasr Eddine, A., Junjun, P. (2019). Geospatial Data Holographic Rendering Using Windows Mixed Reality. In: El Rhalibi, A., Pan, Z., Jin, H., Ding, D., Navarro-Newball, A., Wang, Y. (eds) E-Learning and Games. Edutainment 2018. Lecture Notes in Computer Science(), vol 11462. Springer, Cham. https://doi.org/10.1007/978-3-030-23712-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-23712-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23711-0

  • Online ISBN: 978-3-030-23712-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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