Function estimate_normals

pub fn estimate_normals(
    cloud: &PointCloud<Point3f>,
    k: usize,
) -> Result<PointCloud<NormalPoint3f>>

Estimate normals for a point cloud using k-nearest neighbors

This function computes surface normals for each point in the cloud by:

1. Finding k nearest neighbors for each point
2. Computing the normal using Principal Component Analysis (PCA)
3. The normal is the eigenvector corresponding to the smallest eigenvalue

Arguments

• cloud - Mutable reference to the point cloud
• k - Number of nearest neighbors to use (typically 10-30)

Returns

• Result<PointCloud<NormalPoint3f>> - A new point cloud with normals