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- W2371031752 abstract "Point cloud data three-dimensional modeling is mainly focusing on the surface of the target object modeling grid. Triangle as the basic element of 3 dimension modeling,it is not only simple,but also can express geometrical surface complex properties effectively. Delaunay triangulation is currently the most widely used triangle subdivision method; it can maximally avoid the production of long and narrow triangle,it and can keep the uniqueness of network type no matter where to start creating network. On the basis of the existing grow algorithm study,this article proposed a new algorithm: That is on the basic of the 2 dimension grow algorithm,it uses the normal vector of space to seek the third point of the triangle and to create space triangulation. The advantage of this algorithm is:it is not only suitable for a massive number of point cloud data to construct the space triangulation,but also reflect the object's surface characteristics of build space triangulation well." @default.
- W2371031752 created "2016-06-24" @default.
- W2371031752 creator A5074985100 @default.
- W2371031752 date "2014-01-01" @default.
- W2371031752 modified "2023-09-23" @default.
- W2371031752 title "Research of Scattered Point Cloud Data for Space Triangulation Construction Method" @default.
- W2371031752 hasPublicationYear "2014" @default.
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