3 releases
0.1.2 | Jan 30, 2023 |
---|---|
0.1.1 | Jan 30, 2023 |
0.1.0 | Jan 30, 2023 |
#3 in #marching
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marching-cubes
A Rust implementation of the marching cubes algorithm for extracting isosurfaces from 3D volumetric data.
Features
- Fast and efficient
- Commonly used in computer graphics, medical imaging, and scientific visualization
Examples
use marching_cubes::{MarchingCubes, GridCell, Triangle};
let grid = GridCell {
positions: [
[0.0, 0.0, 0.0],
[1.0, 0.0, 0.0],
[1.0, 1.0, 0.0],
[0.0, 1.0, 0.0],
[0.0, 0.0, 1.0],
[1.0, 0.0, 1.0],
[1.0, 1.0, 1.0],
[0.0, 1.0, 1.0]
],
value: [0.0, 0.5, 0.5, 1.0, 0.0, 1.0, 1.0, 0.0],
};
let mut triangles = vec![];
let isolevel = 0.5;
let mc = MarchingCubes::new(isolevel, grid);
let triangle_count = mc.polygonise(&mut triangles);
assert_eq!(triangle_count, 4);
Usage
The MarchingCubes
struct is the main entry point to the library.
- The
new
method creates a new instance of the algorithm and takes two arguments: the 3D volumetric data as a nested array of scalar values and the isovalue used to extract the isosurface. - The
polygonise
method executes the algorithm and returns the resulting vertices as a vector of 3D points.
Note: The example code uses a 4x4x4 volume for simplicity, but in practice the volume size can be much larger and the algorithm will scale accordingly.