复杂异型建筑立面测绘轮廓提取方法设计  

Design of Contour Extraction Method for Mapping Complex Shaped Building Facade

作　　者：于淮 张燕 YU Huai;ZHANG Yan(School of Architecture and Engineering,Guangxi Vocational and Technical College of Industry,Nanning 530000,China;Nanning Branch,Guilin University of Technology,Fusui 532100,China)

机构地区：[1]广西工业职业技术学院建筑工程学院,广西南宁530000 [2]桂林理工大学南宁分校,广西扶绥532100

出　　处：《自动化仪表》2024年第2期91-95,共5页Process Automation Instrumentation

基　　金：黑龙江省高等职业教育教学改革研究基金资助项目(SJGZY2020279)。

摘　　要：为解决点云数据密度异常时复杂异型建筑立面测绘轮廓提取精度变差的问题,提出基于局部点云密度的复杂异型建筑立面测绘轮廓提取方法。引入基于平面投影和双边滤波的测绘点云数据平滑方法,对测绘数据进行去噪和平滑处理,并通过点云分割方法提取目标点云区域。通过基于改进Alpha Shapes算法的立面测绘轮廓提取方法,以边界网格筛选的方式,去除目标点云区域冗余点云数据后,使用滚动圆半径自适应调节方法提取轮廓数据。试验结果表明,所提取轮廓匹配度高达95.08%,具有良好的精度和可行性。该方法可在有效平滑点云数据、分割获取目标点云区域的同时,高精度提取复杂异型建筑立面测绘轮廓。To solve the problem of the deterioration of contour extraction accuracy of complex shaped building facade mapping when the density of point cloud data is abnormal,the contour extraction method for mapping complex shaped building facade based on local point cloud density is proposed.The mapping point cloud data smoothing method based on planar projection and bilateral filter is introduced to denoise and smooth the mapping data,and the target point cloud region is extracted by point cloud segmentation.Through the facade mapping contour extraction method based on the improved Alpha Shapes algorithm,after removing the redundant point cloud data in the target point cloud region by means of boundary mesh filtering,the contour datas are extracted using the rolling circle radius adaptive adjustment method.The experimental results show that the extracted contour matching degree is as high as 95.08%,which has good accuracy and feasibility.This method can effectively smooth the point cloud data and segment the target point cloud region,and at the same time,extract the contour of complex shaped building facade mapping with high accuracy.

关 键 词：复杂异形建筑 立面测绘 轮廓提取 局部点云密度 点云数据平滑 改进Alpha Shapes算法 

分 类 号：TH-39[机械工程]