组合光透视下小面积室内封闭空间分割方法  

Segmentation method for small area indoor enclosed space under combined light perspective

作　　者：赵会宾[1] 张立[2] ZHAO Huibin;ZHANG Li(Shijiazhuang University,Shijiazhuang 050035,China;Hebei Women’s Vocational College,Shijiazhuang 050073,China)

机构地区：[1]石家庄学院,石家庄050035 [2]河北女子职业技术学院,石家庄050073

出　　处：《激光杂志》2024年第5期231-235,共5页Laser Journal

基　　金：河北省人力资源和社会保障厅(No.JRS-2019-3163)。

摘　　要：为提高室内空间的优化规划设计能力,提出基于点云数据语义分割的组合光透视下小面积室内封闭空间分割方法。构建小面积室内封闭空间的环境三维信息感知模型,采用室内空间点云提取室内封闭空间图像的坐标信息,结合语义组合特征分割方法将融合空间信息映射到高分辨空间异质单元结构中,引入几何约束的子空间投影特征信息,结合组合光透视的高分辨率分割图模型参数融合方法,提取小面积室内封闭的端元,采用点云数据语义分割方法实现空间分割。结果表明,采用该方法有效实现对复杂室内场景的三维重建,空间分割的均方根误差较低为0.808%,峰值信噪比较高42.156 dB,空间分割速度较快,平均为12.83 ms。To improve the optimization planning and design capabilities of indoor spaces,a small area indoor enclosed space segmentation method based on point cloud data semantic segmentation under combined light perspective is proposed.Construct a three-dimensional environmental information perception model for small indoor enclosed spaces,extract coordinate information of indoor enclosed space images using indoor space point clouds,and map the fused spatial information to the high-resolution spatial heterogeneous unit structure using semantic combination feature segmentation method.Introduce subspace projection feature information with constraints,and combine the high-resolution segmentation image model parameter fusion method with combined light perspective,Extract small indoor enclosed end elements and use point cloud data semantic segmentation method to achieve spatial segmentation.The simulation results show that this method can effectively realize the Iterative reconstruction of complex indoor scenes.The Root-mean-square deviation of spatial segmentation is low,the maximum is 0.808%,the peak signal to noise ratio is high,the maximum is 42.156 dB,and the spatial segmentation speed is fast,the average is 12.83 ms.

关 键 词：组合光透视 小面积 室内封闭空间 分割 语义组合特征分割 

分 类 号：TN929[电子电信—通信与信息系统]