摘要
针对已分割出建筑物立面的点云数据,采用结合主成分分析(PCA)的区域增长法提取建筑物立面的平面特征,并利用结合凸壳算法的三角网轮廓提取算法实现建筑物立面几何特征轮廓边的提取。实验结果表明,该方法可以有效地从密度不均匀的点云数据中提取出建筑物立面几何特征。
The 3D reconstruction of building facade can be used for a wide range of applications such as urban planning, traffic navigation and virtual reality. The extraction of the geometric features （facades, windows and doors profiles） is a key step in the three-dimensional reconstruction of a building facade. In this paper, the planar structure of the building facade is first detected from point cloud data based on region growing and principal component analysis （PCA）. Then, the boundaries of geometric features are defined by TIN contour extraction combined with a convex hull algorithm. Experiments show that the proposed method can effectively extract geometric features of the building facade from variable density point cloud data.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2015年第1期102-106,共5页
Geomatics and Information Science of Wuhan University
基金
江苏省测绘科研资助项目(JSCHKY201312)~~
