Practical algorithm of building Delaunay triangle mesh for terrain modeling
Chuan-Jie Xiang, Yunde Jia
Abstract
Chuan-Jie Xiang, Yunde Jia
Abstract
The triangular irregular network (TIN) method is a rational choice for building digital elevation model (DEM) to keep model more precise. The common problem in forming standard delaunay triangle mesh is time-consuming, especially with the large data of sampling nodes. Accordingly, we introduce a practical algorithm to reduce sampling quantity of terrain in a single delaunay triangle mesh and to increase the efficiency of building the mesh greatly. We tested the algorithm with several real sampling data with different distributions. We also present the comparison result of the proposed method with the traditional.
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The triangular irregular network (TIN) method is a rational choice for building digital elevation model (DEM) to keep model more precise. The common problem in forming standard delaunay triangle mesh is time-consuming, especially with the large data of sampling nodes. Accordingly, we introduce a practical algorithm to reduce sampling quantity of terrain in a single delaunay triangle mesh and to increase the efficiency of building the mesh greatly. We tested the algorithm with several real sampling data with different distributions. We also present the comparison result of the proposed method with the traditional.
Key concepts: Delaunay triangulation, Triangulated irregular network, Computer science, Triangle mesh, Terrain, Algorithm, Sampling (signal processing), Constrained Delaunay triangulation