delaunay triangulation
时间: 2023-04-26 14:05:46 浏览: 62
Delaunay 三角剖分是计算几何中的一种算法,用于将一组点集划分为若干个三角形,以满足 Delaunay 定理,即每个三角形的内部圆心不在该三角形外任意一点上。这种算法在图形学、机器学习和空间数据处理中有广泛的应用。
相关问题
delaunay C++
Delaunay C 是一个计算机图形学中的算法,用于生成由点组成的三角形网格。它的原理是通过求解点集中所有点之间的德劳内三角剖分(Delaunay Triangulation),来构造一个无重叠三角形的网格。Delaunay C 在计算机图形学领域有着广泛的应用,比如地理信息系统、机器人路径规划等领域。
Coding me scipy.spatial.Delaunay create mesh
Sure, here is an example code for creating a mesh using `scipy.spatial.Delaunay`:
```python
import numpy as np
from scipy.spatial import Delaunay
# Define the points for triangulation
points = np.array([[0, 0], [0, 1], [1, 0], [1, 1], [0.5, 0.5]])
# Compute the Delaunay triangulation
tri = Delaunay(points)
# Extract the triangles and vertices of the mesh
triangles = points[tri.simplices]
vertices = triangles.reshape(-1, 2)
# Print the vertices of the mesh
print(vertices)
```
In this example, we first define some points in a 2D space. We then use `scipy.spatial.Delaunay` to compute the Delaunay triangulation of these points, which creates a mesh of non-overlapping triangles covering the space. Finally, we extract the vertices of the triangles to obtain the full set of vertices for the mesh. You can modify the `points` array to create different meshes for your specific application.