Package boofcv.alg.cloud

Class PointCloudUtils_F32

java.lang.Object

boofcv.alg.cloud.PointCloudUtils_F32

@Generated("boofcv.alg.cloud.PointCloudUtils_F64")
public class PointCloudUtils_F32
extends Object

Various utility functions for working with point clouds with a float type of float.

Constructor Summary

Constructors

Constructor	Description
PointCloudUtils_F32()

Method Summary

Modifier and Type	Method	Description
static float	autoScale(List<Point3D_F32> cloud, float target)	Automatically rescales the point cloud based so that it has a standard deviation of 'target'
static DogArray<Point3dRgbI_F32>	filter(AccessPointIndex<Point3D_F32> accessPoint, AccessColorIndex accessColor, int size, BoofLambdas.FilterInt filter, @Nullable DogArray<Point3dRgbI_F32> output)	Creates a new list of points while filtering out points
static void	prune(List<Point3D_F32> cloud, int minNeighbors, float radius)	Prunes points from the point cloud if they have very few neighbors
static void	prune(List<Point3D_F32> cloud, DogArray_I32 colors, int minNeighbors, float radius)	Prunes points from the point cloud if they have very few neighbors
static void	statistics(List<Point3D_F32> cloud, Point3D_F32 mean, Point3D_F32 stdev)	Computes the mean and standard deviation of each axis in the point cloud computed in dependently

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

PointCloudUtils_F32

public PointCloudUtils_F32()

Method Details

filter

public static DogArray<Point3dRgbI_F32> filter(AccessPointIndex<Point3D_F32> accessPoint,
AccessColorIndex accessColor,
int size,
BoofLambdas.FilterInt filter,
@Nullable
@Nullable DogArray<Point3dRgbI_F32> output)

Creates a new list of points while filtering out points

autoScale

public static float autoScale(List<Point3D_F32> cloud,
float target)

Automatically rescales the point cloud based so that it has a standard deviation of 'target'

Parameters:

cloud - The point cloud

target - The desired standard deviation of the cloud. Try 100

Returns:

The selected scale factor

statistics

public static void statistics(List<Point3D_F32> cloud,
Point3D_F32 mean,
Point3D_F32 stdev)

Computes the mean and standard deviation of each axis in the point cloud computed in dependently

Parameters:

cloud - (Input) Cloud

mean - (Output) mean of each axis

stdev - (Output) standard deviation of each axis

prune

public static void prune(List<Point3D_F32> cloud,
int minNeighbors,
float radius)

Prunes points from the point cloud if they have very few neighbors

Parameters:

cloud - Point cloud

minNeighbors - Minimum number of neighbors for it to not be pruned

radius - search distance for neighbors

prune

public static void prune(List<Point3D_F32> cloud,
DogArray_I32 colors,
int minNeighbors,
float radius)

Prunes points from the point cloud if they have very few neighbors

Parameters:

cloud - Point cloud

colors - Color of each point.

minNeighbors - Minimum number of neighbors for it to not be pruned

radius - search distance for neighbors