Struct StatisticalOutlierRemoval 

pub struct StatisticalOutlierRemoval { /* private fields */ }

Statistical Outlier Removal (SOR).

For each point the mean distance to its k nearest neighbors is computed. Assuming those means are roughly Gaussian, points whose mean distance is more than std_mul standard deviations above the global mean are dropped.

Implementations

impl StatisticalOutlierRemoval

pub const fn new(config: StatisticalOutlierConfig) -> StatisticalOutlierRemoval

Creates a filter from config.

pub const fn config(&self) -> StatisticalOutlierConfig

Returns the filter config.

pub fn keep_mask(&self, input: &PointCloud) -> Result<Vec<bool>, SpatialError>

Computes the keep mask without materializing the filtered cloud.

Trait Implementations

impl Clone for StatisticalOutlierRemoval

fn clone(&self) -> StatisticalOutlierRemoval

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for StatisticalOutlierRemoval

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

Formats the value using the given formatter.

impl PartialEq for StatisticalOutlierRemoval

fn eq(&self, other: &StatisticalOutlierRemoval) -> 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 PointCloudFilter for StatisticalOutlierRemoval

fn name(&self) -> &'static str

Human-readable filter name.

fn filter(&self, input: &PointCloud) -> Result<PointCloud, SpatialError>

Applies the filter and returns a new point cloud.

impl Copy for StatisticalOutlierRemoval

impl StructuralPartialEq for StatisticalOutlierRemoval