摘要
进行室内空间划分与建模时,没有对图像信息进行融合处理,导致室内空间利用率较差,对此提出基于激光点云数据的室内空间划分与建模方法。根据室内空间划分结果,构建室内空间图像采集模型,将采集后的图像结合激光点云数据分析法,构建空间划分的对象参数模型,得到室内覆盖率参数,采用分块模板匹配法,提取室内空间的特征量,将特征量通过边缘过渡区域RGB特征进行分解,根据特征分量构建激光点云数据融合模型,完成数据融合;利用分块组合和线性滤波方法,完成室内空间划分与建模。仿真结果表明,本方法的空间利用率最高达97%,室内建筑节能率保持在60%左右,室内建模最长使用7天,说明本方法的空间匹配能力较好,艺术设计效果表达能力较强,建模效率较高,提高了室内空间规划水平、利用效率与建筑节能率。
In the process of indoor space division and modeling,the image information is not fused,resulting in poor utilization of indoor space.Therefore,a method of indoor space division and modeling based on laser point cloud data is proposed.According to the results of indoor space division,an indoor space image acquisition model is built.The collected images are combined with laser point cloud data analysis method to build an object parameter model for space division,and the indoor coverage parameters are obtained.The feature quantities of indoor space are extracted by using the block template matching method.The feature quantities are decomposed through the RGB features of the edge transition area,and the laser point cloud data fusion model is built according to the feature components,Complete data fusion;Using block combination and linear filtering methods,indoor space division and modeling are completed.The simulation results show that the space utilization rate of the method in this paper is as high as 97%,and the energy saving rate of indoor buildings is maintained at about 60%,The indoor modeling can be used for 7 days at most,which shows that the space matching ability of this method is good,the artistic design effect expression ability is strong,and the modeling efficiency is high,which improves the indoor space planning level,utilization efficiency and building en-ergy efficiency.
作者
卢美君
魏倩岚
LU Meijun;WEI Qianlan(Taylor’s University,Subang Jaya,Selangor Darul Ehsan 47500,Malaysia;Xi’an International University,Xi’an 710077,China)
出处
《激光杂志》
CAS
北大核心
2023年第11期214-219,共6页
Laser Journal
基金
陕西省科技厅项目(No.707264431017)。
关键词
激光
点云数据
室内空间划分
艺术图形
视觉引导
laser
point cloud data
indoor space division
artistic graphics
visual guidance
