Distributed 3D Interior Environment Design System Based on Color Image Model

To improve the efficiency of disseminating 3D interior designs, the author suggests a technique that incorporates color image modeling and virtual technology. To achieve this, initially distributed data fusion techniques are employed to construct a color image model for 3D interior design distribution. This model facilitates the transmission of 3D interior elements and the identification of specific points within the design. Additionally, an RGB color-matching method is used to extract spatial color distribution information. By integrating the pixel features from 3D spatial distribution images and employing a 3D point cloud feature recombination process, the color space of 3D spatial distributions can be accurately reproduced, resulting in more effective distribution of 3D interior designs. In the second phase, building on the image and color creation process, the author distributes 3D interior design through the utilization of virtual reality and visual technology. This involves creating 3D interior design models within 3D MAX using the hierarchical interior design software Muligen Design. Finally, experimental results demonstrate that this model enhances the visualization and teaching potential for classifying 3D home designs effectively.