This is a Rust implementation of the Screened Poisson Reconstruction surface reconstruction algorithm. This implementation comes courtesy of Foresight Mining Software Corporation who sponsor its creation and maintenance.
- Poisson Surface Reconstruction by Kazhdan, Bolitho, and Hoppe.
- Screened Poisson Surface Reconstruction by Kazhdan and Hoppe.
Given a set of points and normals, the PoissonReconstruction will generate an implicit function from which the
reconstructed surface can be extracted.
let poisson = PoissonReconstruction::from_points_and_normals(
&points, &normals, 0.0, 4, 5, 10
);
let mesh_vertices = poisson.reconstruct_mesh();The PoissonReconstruction representing an implicit function, it can be evaluated at space locations with
PoissonReconstruction::eval. For convenience, a very basic isosurface extraction based on marching-cubes is provided
with PoissonReconstruction::reconstruct_mesh().
Some speed optimizations described in the Kazhdan et al. paper. Namely, it currently doesn’t implement the hierarchical clustering of point optimization nor the conforming version of the castadic solver.
PoissonReconstruction is free and open source! All code in this repository is dual-licensed under either:
- MIT License (LICENSE-MIT or http://opensource.org/licenses/MIT)
- Apache License, Version 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
at your option. This means you can select the license you prefer! This dual-licensing approach is the de-facto standard in the Rust ecosystem and there are very good reasons to include both.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.
The creation and maintenance of PoissonReconstruction is sponsored by Foresight Mining Software Corporation.
