Perspective Data Analysis and Mining Algorithm for Interior Art Design from the Perspective of Virtual Metadata-Assisted 3D Modeling

Abstract

This paper studies the virtual reality method of interior design based on 3D vision. Active and omnidirectional stereo vision sensors are used to collect 3D point cloud data of indoor scenes. Based on the point cloud data, the geometric relationship and placement of objects in the indoor scene are distributed. Independent synthesis of 3D scenes, training on the distribution of object placement. On the basis of image and color processing algorithm design, based on virtual reality and visual simulation technology, the development and design of a distributed 3D interior design system is carried out using 3dsMAX for distribution 3D modeling of 3D interior design, realize interior hierarchical structure design on Multigen Creator modeling software.