Research on Virtual Reality Scene Construction and Space Layout Optimization in Interior Design Based on Collaborative Optimization Algorithm

Abstract

With the wide application of virtual reality technology to the field of interior design, people pay more and more attention to the spatial layout of virtual interior scenes and the simulation effect of scene construction. In this study, we first design the indoor spatial point matching algorithm based on three-dimensional vision, use the similarity metric formula to solve the distance between the spatial points in the base image and the original image, and eliminate the wrong points to improve the spatial point matching accuracy, and then use the VR technology to carry out the virtual modeling of the interior scene. The energy function is introduced for optimization, spatial layout planning is carried out, and the collaborative particle swarm algorithm is used for optimization to realize the exploration of indoor virtual reality scene construction and spatial layout optimization methods. In the chi-square test p-value, for Q1 (the null hypothesis is that participants vote the same number of votes for each emotion), the p-value is much lower than 0.05, and the results indicate that there is a difference in voting for each emotion. For Q2 (the null hypothesis is that the participants vote the same number of votes for the answer to the question of whether the color distribution is similar to the common color distribution of that type of scene in other scenes except the real scene), the results are more diverse, which shows that the color distribution is similar to the common color distribution of that type of scene, thus verifying the validity and correctness of the method in this paper.