Article
3D Modeling System of Indoor Environment Art Landscape Design under Statistical Equation
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Abstract
This paper establishes a three-dimensional virtual landscape model based on statistical equations. This paper completes the analysis of interior design requirements by analyzing the structure of the interior design platform and the indoor positioning algorithm from the three-dimensional virtual perspective. We realize the 3D reconstruction of indoor landscape through the 3D visual image reconstruction module and VRLM browser module. The experimental results show that the designed 3D virtual landscape is more realistic. Its artistic effect is better.
Keywords
Statistical equation, Indoor environment, Landscape design, 3D modeling, 11D04
Citation
Hao, H. & Al-Juboori, U. A. (2022). 3D modeling system of indoor environment art landscape design under statistical equation. Applied Mathematics and Nonlinear Sciences, 7(2), 969–978. https://doi.org/10.2478/amns.2022.2.0085
H. Hao and U. A. Al-Juboori, “3D modeling system of indoor environment art landscape design under statistical equation,” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, pp. 969–978, 2022, doi: 10.2478/amns.2022.2.0085.
Hao H, Al-Juboori UA. 3D modeling system of indoor environment art landscape design under statistical equation. Applied Mathematics and Nonlinear Sciences. 2022;7(2):969–978. doi:10.2478/amns.2022.2.0085.
Hao, H. and Al-Juboori, U. A. (2022), ‘3D modeling system of indoor environment art landscape design under statistical equation’, Applied Mathematics and Nonlinear Sciences, 7(2), pp. 969–978. Available at: https://doi.org/10.2478/amns.2022.2.0085.
Hao, Huinan, and Udai Ali Al-Juboori. “3D Modeling System of Indoor Environment Art Landscape Design Under Statistical Equation.” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, 2022, pp. 969–978. https://doi.org/10.2478/amns.2022.2.0085.
Hao, Huinan, and Udai Ali Al-Juboori. “3D Modeling System of Indoor Environment Art Landscape Design Under Statistical Equation.” Applied Mathematics and Nonlinear Sciences 7, no. 2 (2022): 969–978. https://doi.org/10.2478/amns.2022.2.0085.
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Published by: Engineering Journals
