<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to enhance the technical innovation of interior design, this paper proposes an interior design approach based on artificial intelligence technology to optimize the overall scheme of interior design. The shape and contour features of different kinds of objects in the interior are modeled by visual information design, the information components of the visual images are determined using correlation scale analysis, and the maximum grayscale values are marked to implement 3D visual feature reconstruction. The reconstruction process is based on accurately aligned point cloud data, and parametric surface reconstruction is implemented for the target objects to obtain a more accurate 3D interior design model and make the interior scene simulation more realistic. In order to verify the effectiveness of the application of the interior design method based on artificial intelligence technology, simulation design experiments are conducted. The results show that the multi-element fusion (TBG) consideration characteristics of the proposed method are more uniformly distributed. The visual saturation and stereo image design levels reach 98% and 88.51%, respectively. The average error result is 0.06, which are both better than the 3D vision-based interior design method and the multi-element fusion-based interior design method, and have higher design reliability. It can be seen that the interior design method based on artificial intelligence technology helps to enhance the effect of intelligent application of interior design and promotes the optimization and upgrading of the interior design working experience.</p>
</abstract>

In order to enhance the technical innovation of interior design, this paper proposes an interior design approach based on artificial intelligence technology to optimize the overall scheme of interior design. The shape and contour features of different kinds of objects in the interior are modeled by visual information design, the information components of the visual images are determined using correlation scale analysis, and the maximum grayscale values are marked to implement 3D visual feature reconstruction. The reconstruction process is based on accurately aligned point cloud data, and parametric surface reconstruction is implemented for the target objects to obtain a more accurate 3D interior design model and make the interior scene simulation more realistic. In order to verify the effectiveness of the application of the interior design method based on artificial intelligence technology, simulation design experiments are conducted. The results show that the multi-element fusion (TBG) consideration characteristics of the proposed method are more uniformly distributed. The visual saturation and stereo image design levels reach 98% and 88.51%, respectively. The average error result is 0.06, which are both better than the 3D vision-based interior design method and the multi-element fusion-based interior design method, and have higher design reliability. It can be seen that the interior design method based on artificial intelligence technology helps to enhance the effect of intelligent application of interior design and promotes the optimization and upgrading of the interior design working experience.

Application and Practice of Artificial Intelligence Technology in Interior Design

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In order to enhance the technical innovation of interior design, this paper proposes an interior design approach based on artificial intelligence technology to...

Application and Practice of Artificial Intelligence Technology in Interior Design

Online veröffentlicht: 28. Apr. 2023

Seitenbereich: 3077 - 3094

Eingereicht: 24. März 2022

Akzeptiert: 04. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00020

Schlüsselwörter
Interior design, Artificial intelligence technology, Visual information design, 3D visual feature reconstruction, Point cloud data

© 2023 Mingchan Gong, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Application and Practice of Artificial Intelligence Technology in Interior Design

Online veröffentlicht: 28. Apr. 2023

Seitenbereich: 3077 - 3094

Eingereicht: 24. März 2022

Akzeptiert: 04. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00020

SchlüsselwörterInterior design, Artificial intelligence technology, Visual information design, 3D visual feature reconstruction, Point cloud data

© 2023 Mingchan Gong, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Interior design, Artificial intelligence technology, Visual information design, 3D visual feature reconstruction, Point cloud data