2 releases
| 0.1.1 | Apr 3, 2023 |
|---|---|
| 0.1.0 | Apr 3, 2023 |
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mlsnd: Moving Least Squares in N Dimensions
An implementation of the moving least squares point deformation algorithm (Schaefer 2006).
Heavily inspired by the existing moving-least-squares crate. Here is how they compare:
| Feature | moving-least-squares |
mlsnd |
|---|---|---|
| Number types | f32 only | Generic over f32, f64 |
| Dimensionality | 2D only | Generic over N dimensions |
| Speed | ~20% faster | Slower |
| Algorithm support | Affine, rigid, similarity | Affine only |
| Dependencies | Fewer | More (mainly nalgebra) |
| Results (2D f32) | Same (near enough) | Same (near enough) |
The motivating paper only suggests a dimensionality-agnostic implementation for the affine case, although the other cases may be tractable for someone who is better than me at linear algebra.
Dependencies
~3.5MB
~75K SLoC