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The Development of Intelligent VR Systems Based on Deep Learning

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Multidimensional Signals, Augmented Reality and Information Technologies (WCI3DT 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 374))

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Abstract

By applying deep learning technology to smart Virtual Reality (VR) devices, it can achieve continuous iterative upgrades and provide users with a better immersive design experience. Based on deep learning technology, this research builds an image difference prediction calculation model and creates prediction models for pictures using data from visual interaction screens after analysis and processing. For immersive display design screens, an image prediction computational model is first built. In the experiment, numerous screenshots of the display device are processed, superfluous pixels are removed, and multiple colour display judgements are made using the image difference prediction model. The quality level of the display effect has successfully been raised based on the data from the initial colour sample points. Additionally, the enhanced display screen allows for specular reflection to arise from real-time algorithms rather than just simple mirror mapping; further enhancing the visual effect. This has great significance for the application of VR technology in education, entertainment and other fields.

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Acknowledgements

Funded by the National Undergraduate Innovation and Entrepreneurship Training Program Support Project (202210143020).

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Authors and Affiliations

  1. School of Aeronautics and Astronautics, Shenyang Aerospace University, Liaoning, China

    Yaohui An, Xinkai Wang & Wei Wu

  2. School of Energy and Environment, Shenyang Aerospace University, Liaoning, China

    Jiayu Lei

Authors
  1. Yaohui An
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  2. Xinkai Wang
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  3. Wei Wu
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  4. Jiayu Lei
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Corresponding author

Correspondence to Yaohui An .

Editor information

Editors and Affiliations

  1. Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

  2. Interscience Institute of Management and Technology, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Shanghai Institute of Technology, Shanghai, China

    Wenfeng Wang

  4. TK Engineering, Sofia, Bulgaria

    Roumiana Kountcheva

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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An, Y., Wang, X., Wu, W., Lei, J. (2024). The Development of Intelligent VR Systems Based on Deep Learning. In: Kountchev, R., Patnaik, S., Wang, W., Kountcheva, R. (eds) Multidimensional Signals, Augmented Reality and Information Technologies. WCI3DT 2023. Smart Innovation, Systems and Technologies, vol 374. Springer, Singapore. https://doi.org/10.1007/978-981-99-7011-7_14

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