一种车载LiDAR建筑物立面点云精细分割方法

Fine segmentation of mobile LiDAR building facade point cloud

车载LiDAR技术是智慧城市基础设施三维数据快速获取的重要手段,对于获取精细的城市建筑三维模型,实现车载点云数据的建筑物立面快速、精细分割具有重要作用。文中提出一种建筑物车载立面点云自动精细分割方法,首先提取出建筑物的外轮廓线,通过设置轮廓线缓冲区实现立面点云的粗分割,然后采用RANSAC平面探测算法探测建筑物主立面,从而实现建筑物立面的精细分割。试验结果表明,文中算法能快速、准确地从车载点云中分割出建筑物立面点云,为建筑物精细三维模型重建奠定基础。

Mobile LiDAR technology is an important means for infrastructure rapid 3D data capture of smart city.In order to obtain a fine city building 3D model,and to realize the mobile LiDAR point cloud data of the building facade fast,a fine segmentation has important theoretical value and practical significance.In the paper,a method of automatic fine segmentation of building mobile LiDAR point cloud is proposed：firstly,extract building contour line,by setting the contour line buffer to achieve the coarse segmentation of the facade point cloud,and then use the RANSAC plane detection algorithm to detect the building main facade,in order to realize the fine segmentation of the building facade.The test result shows that the method can segment facade point cloud from mobile LiDAR data quickly and accurately.