Struct NormalEstimationConfig 

pub struct NormalEstimationConfig {
    pub k_neighbors: usize,
    pub search_radius: Option<f32>,
    pub min_neighbors: usize,
    pub viewpoint: Option<Vec3<f32>>,
    pub gpu_min_points: Option<usize>,
}

Configuration for covariance-based normal estimation.

Fields

k_neighbors: usize

Number of nearest neighbors to use when search_radius is None.

search_radius: Option<f32>

Optional radius search instead of fixed k.

min_neighbors: usize

Minimum number of neighbors required to estimate a valid normal.

viewpoint: Option<Vec3<f32>>

Optional viewpoint used to orient normals consistently.

gpu_min_points: Option<usize>

Minimum input point count before GPU execution is considered under Auto.

None always uses GPU when requested.

Implementations

impl NormalEstimationConfig

pub const fn k_neighbors(k_neighbors: usize) -> Self

Creates a k-NN normal estimation config.

pub const fn without_gpu_min_points(self) -> Self

Disables the GPU point-count heuristic so GPU is always used when requested.

pub const fn effective_gpu_min_points(&self) -> Option<usize>

Returns the point-count threshold used by ExecutionPolicy::Auto.

Trait Implementations

impl Clone for NormalEstimationConfig

fn clone(&self) -> NormalEstimationConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for NormalEstimationConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for NormalEstimationConfig

fn default() -> Self

Returns the “default value” for a type.

impl PartialEq for NormalEstimationConfig

fn eq(&self, other: &NormalEstimationConfig) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for NormalEstimationConfig

impl StructuralPartialEq for NormalEstimationConfig