Package georegression.fitting.points

Class PointCloudToNormals_F32

java.lang.Object

georegression.fitting.points.PointCloudToNormals_F32

Direct Known Subclasses:

PointCloudToNormals_MT_F32

@Generated("georegression.fitting.points.PointCloudToNormals_F64")
public class PointCloudToNormals_F32
extends Object

Takes in a point cloud and returns the same point cloud with surface norms. In this implementation, we use a KDTree to find all the N local neighbors of each point. A plane is fit to those neighbors and the normal extracted from that. The sign of the normal is arbitrary as additional information is needed.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
protected class	PointCloudToNormals_F32.Helper	Contains everything that a single thread needs to search for points

Field Summary

Fields

Modifier and Type	Field	Description
int	numNeighbors

Constructor Summary

Constructors

Constructor	Description
PointCloudToNormals_F32()

Method Summary

Modifier and Type	Method	Description
protected void	convert(int idx0, int idx1, List<Point3D_F32> input, DogArray<Vector3D_F32> output, PointCloudToNormals_F32.Helper helper)	Convert all the points within the specified range.
void	convert(List<Point3D_F32> input, DogArray<Vector3D_F32> output)

Methods inherited from class java.lang.Object

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

Field Details

numNeighbors

public int numNeighbors

Constructor Details

PointCloudToNormals_F32

public PointCloudToNormals_F32()

Method Details

convert

public void convert(List<Point3D_F32> input,
 DogArray<Vector3D_F32> output)

convert

protected void convert(int idx0,
 int idx1,
 List<Point3D_F32> input,
 DogArray<Vector3D_F32> output,
 PointCloudToNormals_F32.Helper helper)

Convert all the points within the specified range.