再presenting使用3D Delaunay三角为依据激光雷达表面？ [英] Representing a LiDAR surface using the 3D Delaunay Triangulation as basis?
问题描述
我想重新present表面，具有3D Delaunay三角。 顶点必须是我的原始输入数据，激光雷达点云从市区。 所以，表面必须调节/调整该输入信息。
I would like to represent a surface, with 3D Delaunay Triangulation. The vertices must be my original input data, a LiDAR point cloud from an urban area. So, the surface must adjust/adapt the input information.
其实，我需要做的是以下内容：
Actually, what I need to do is the following:
- 在我有一个三维点云（X，Y，Z）从市区;
- 我需要重新present这个区域的表面;
- 我愿做一个3D Delaunay三角网（我与CGAL和我的四面体） 并确定重新present表面（与CGAL我有4个顶点而只有三角形 我不能确定哪些重present表面三角形）;
- 由于这些表面的三角形是已知的，我需要给一个点，获得包含此给定点的三角形。
- I have a 3D point cloud (x, y, z) from an urban area;
- I need to represent the surface of this area;
- I would like to do a 3D delaunay triangulation (I did with CGAL and I got the tetrahedrons) and identify only the triangles that represent the surface (with CGAL I have 4 vertices and I can't define which ones represent the surface triangle);
- Since these surface triangles are known, I need to give a point and get the triangle that contains this given point.
我想知道我需要哪个功能。 我看到了三维表面的网格生成，3D Delaunay三角，曲面重构 从点将台，3D网格生成和3D阿尔法形状。 但我不知道哪一个更适合我的工作/需要。什么功能，可以给我 面三角形（再从我的初步数据集中psented由点$ P $）作为输出。
I would like to know which function I need. I saw the "3D surface mesh generation", "3D Delaunay Triangulation", "Surface Reconstruction from point sets", "3D Mesh generation" and "3D Alpha Shapes". But I am not sure which one fits better to my work/need. What function could give me the surface triangles (represented by points from my initial dataset) as output.
有没有人有一个建议？
推荐答案
您可以使用淡入淡出2.5D，它使用了三角形网格表面点：
You can use Fade 2.5D, it uses triangles to mesh surface points:
http://www.geom.at/fade2d/html/
http://www.geom.at/fade2d/html/
该库是免费的科学使用，你可以找到在实施例7一个code为例（我是作者）。
The library is free for scientific use, you can find a code example in Example7 (I'm the author).
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