摘要
现有的建模方法已无法满足实际应用需求,为此,以三维激光点云数据为技术支持,设计出一种建筑景观可视化建模策略。分析三维激光扫描技术与坐标解算后,联立建筑景观影像坐标与点云间映射关系,经配准采集到的点云数据,采用引入拉普拉斯算子的噪声滤除算法、kd-tree以及引入凸包概念的边界线提取算法,完成建筑景观点云数据去噪、分割以及轮廓线提取等预处理,利用auto CAD软件修复数据空洞,通过计算机屏幕实现建筑景观建模可视化。实验结果证明,三维激光技术能够有效满足建模对点云数据的要求,建模耗时平均为5 s,建模测量距离误差值平均为1.8 m,验证了所提方法具有较好的时效性与精准性。
The existing modeling methods can no longer meet the needs of practical applications. Therefore, with technical support of 3 D laser point cloud data, a visual modeling strategy for architectural landscapes is designed. After analyzing three-dimensional laser scanning technology and coordinate calculation, the mapping relationship between the coordinate of architectural landscape image and the point cloud is established, and the point cloud data collected by registration adopts noise filtering algorithm that introduces the Laplacian operator, kd-tree and the boundary line extraction algorithm that introduces the concept of convex hull. The preprocessing of architectural landscape point cloud data denoising, segmentation and contour line extraction are completed, the auto CAD software is used for repairing data holes, and architectural landscape modeling visualization is realized through computer screens. The experimental results prove that 3 D laser technology can effectively meet the requirements of point cloud data for modeling. The average modeling time is 5 s, and the average modeling measurement distance error value is 1.8 meters, which verifies that the proposed method has good timeliness and precision.
作者
刘瑶
张城芳
LIU Yao;ZHANG Chengfane(Wuhan Huaxia University of Technology,Wuhan 430000,China)
出处
《激光杂志》
CAS
北大核心
2022年第3期138-142,共5页
Laser Journal
基金
湖北省自然科学基金(No.2019CFC873)。
关键词
三维激光扫描技术
点云数据
建筑景观
可视化
景观建模
邻域点
three-dimensional laser scanning technology
point cloud data
architectural landscape
visualization
landscape modeling
neighborhood points
作者简介
刘瑶(1989-),女,硕士,讲师,研究方向:环境设计、居住区景观设计、商业空间设计。
