城市点云的区域生长三角网构建方法
发布时间：2018-08-22 19:48
【摘要】：成熟的倾斜摄影测量及密集匹配技术可获取密集的城市点云,对点云进行三角网构建是真三维建模的关键技术之一。提出了基于区域生长的三角网构建方法,使用双约束条件提高点云的搜索效率,基于点边表数据结构进行网格生长,利用夹角约束和三角形孔洞修补优化网格。实验证明,该方法获取的三角网能够准确地表达楼体、桥状建筑等在内的城市实体,网格优化后的孔洞比例约为1‰并且该方法具有一定的抗噪能力。
[Abstract]:The mature oblique photogrammetry and dense matching technology can obtain dense urban point cloud. The construction of triangulation of point cloud is one of the key techniques of true 3D modeling. A method of constructing triangular network based on region growth is proposed. The search efficiency of point cloud is improved by using double constraint condition. The mesh is grown based on the data structure of point and edge table. The mesh is optimized by angle constraint and triangle hole repair. Experimental results show that the triangular mesh obtained by this method can accurately represent urban entities, such as building body, bridge building, etc. The ratio of holes to holes after mesh optimization is about 1 鈥，
本文编号：2198134
[Abstract]:The mature oblique photogrammetry and dense matching technology can obtain dense urban point cloud. The construction of triangulation of point cloud is one of the key techniques of true 3D modeling. A method of constructing triangular network based on region growth is proposed. The search efficiency of point cloud is improved by using double constraint condition. The mesh is grown based on the data structure of point and edge table. The mesh is optimized by angle constraint and triangle hole repair. Experimental results show that the triangular mesh obtained by this method can accurately represent urban entities, such as building body, bridge building, etc. The ratio of holes to holes after mesh optimization is about 1 鈥，
本文编号：2198134
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