pchandler.filters.outlier_filter

Statistical outlier removal filters.

Classes

`BaseOutlierFilter`	Base class for filters that remove statistical outliers via Open3D.
`CartesianOutlierFilter`	Outlier filter for point clouds in cartesian coordinates.
`SphericalOutlierFilter`	Outlier filter for point clouds in spherical coordinates.

class pchandler.filters.outlier_filter.BaseOutlierFilter

Base class for filters that remove statistical outliers via Open3D.

__init__(std_ratio=0.95, number_of_neighbours=13)

Build a statistical-outlier-removal filter.

The underlying algorithm uses a standard-deviation ratio and a configurable neighborhood size.

Parameters:

std_ratio (float, default=0.95) – Standard-deviation ratio threshold (0 < std_ratio <= 1).
number_of_neighbours (int, default=13) – Number of nearest neighbors used to estimate local statistics.

mask(pcd)

Create a boolean mask of inliers (non-outlier points).

Parameters:: pcd (o3d.geometry.PointCloud) – Open3D point cloud to evaluate.
Returns:: Boolean mask, True for inliers.
Return type:: Vector_Bool_T

class pchandler.filters.outlier_filter.SphericalOutlierFilter

Outlier filter for point clouds in spherical coordinates.

mask(pcd)

Create a boolean mask of inliers using spherical-coordinate statistics.

class pchandler.filters.outlier_filter.CartesianOutlierFilter

Outlier filter for point clouds in cartesian coordinates.

mask(pcd)

Create a boolean mask of inliers using cartesian-coordinate statistics.