基于卷积神经网络的室内家居虚拟设计  

Virtual Design of Indoor Home Based on Convolutional Neural Network

作　　者：许振中[1] XU Zhenzhong(Anhui Business and Technology College,Hefei 230041,China)

机构地区：[1]安徽工商职业学院,安徽合肥230041

出　　处：《佳木斯大学学报（自然科学版）》2024年第11期118-121,129,共5页Journal of Jiamusi University：Natural Science Edition

摘　　要：传统的家居虚拟设计手段效果不够逼真,容易产生设计效果与实际效果之间的偏差。研究采用以卷积神经网络为依据的室内家居虚拟设计,通过卷积神经网络利用信息化的技术手段进行情景预设和三维建模,对图像分类进行优化,解决设计效果不够逼真、设计方式相对繁琐的问题,以达到更好的室内家居虚拟设计效果。The effect of the traditional home virtual design method is not realistic enough,and it is easy to produce the deviation between the design effect and the actual effect.In this study,the virtual design of indoor home based on convolutional neural network is adopted.By using the convolutional neural network and information technology,the scenario presetting and three-dimensional modeling are carried out,and the image classification is optimized,so as to solve the problems of insufficient realistic design effect and relatively complicated design method,so as to achieve better virtual design effect of indoor home.

关 键 词：室内家居设计 图像分类 卷积神经网络 人工神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]