Tóm tắt

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