Feature request: add number of neighbors in ball point queries with different radii as features?

dfsp-spirit / meshlearn

AI model to predict computationally expensive vertex-wise descriptors like the local gyrification index from the mesh structure.

MIT License

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Feature request: add number of neighbors in ball point queries with different radii as features? #12

Closed dfsp-spirit closed 2 years ago

dfsp-spirit commented 2 years ago

We could add a new descriptor to each row: currently we have the neighborhoods (verts + normals) in a fixed radius, along with the count of neighbors (before filtering/limiting).

We could add as new feature: supply several radii, add just number of neighbors for them (no coords/normals).

Intention: this would characterize vertex density around vertex on different scales, and it fast to compute and implement.

dfsp-spirit commented 2 years ago

This is now available on the dev branch, closing as done. Beware of using too large radii, which is slow.