Roaming and transfer of architectural interior design based on neural network

Abstract

The research of neural network is closely related to the research of human vision. Relying on the latest research on the human visual system, further improving the performance of neural networks and finding the next breakthrough in convolutional neural network research is a hot topic in academia. Techniques such as mathematics, statistics and engineering can be used to create visual systems that can understand the human brain environment and cognitive abilities. The visual system is of great significance to the roaming and transmission of architectural interior design. This paper explores the application of neural network in the roaming and delivery system of architectural interior design. Firstly, the paper summarizes the research status of roaming transmission system for architectural interior design, and proposes the optimization of neural network technology based on neural convolutional network in image feature point detection, location and description. This relationship, combined with the hardware features that control the walkthrough scene, provides the effect of smooth movement of intermediate images within and between viewpoint spaces. The paper hopes to contribute to the optimization research of interior design roaming system based on the concept of incorporating neural network.