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3D Visualization Method of Folk Museum Collection Information Based on Virtual Reality

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Advanced Hybrid Information Processing (ADHIP 2022)

Abstract

Aiming at the lack of real-time simulation rendering of Folk Museum collection information, a three-dimensional visualization method of Folk Museum collection information based on virtual reality is proposed. According to the collection information classification of Folk Museum, the exhibition space of museum is divided. The museum is structured, the rendering scene of collection information is constructed by using parametric scene description language, and these data are uniformly managed by means of spatial projection. According to the attribute value of the rendered scene, a three-dimensional visualization model of the collection information of the Folk Museum is established based on virtual reality. The role agent communicates with the outside rather than directly accessing the role, which can enhance the encapsulation of data and the reusability of code, so as to reduce the response delay. The test results show that the 3D visualization method of Folk Museum collection information based on virtual reality can shorten the information response time and optimize the real-time rendering process.

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References

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Funding

2022 Jilin Provincial Department of Education Scientific Research Project: Design of Interactive Picture Books for Cultural Creation of Northeast Ethnic Folk Museum in the New Media Era. Item number: JJKH20221334SK.

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Correspondence to He Wang .

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, H., Yang, Z. (2023). 3D Visualization Method of Folk Museum Collection Information Based on Virtual Reality. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-28787-9_2

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  • DOI: https://doi.org/10.1007/978-3-031-28787-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28786-2

  • Online ISBN: 978-3-031-28787-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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