Package com.irurueta.numerical.robust

Class PROSACRobustEstimator.PROSACInliersData

java.lang.Object

com.irurueta.numerical.robust.InliersData

com.irurueta.numerical.robust.PROSACRobustEstimator.PROSACInliersData

Enclosing class:

PROSACRobustEstimator<T>

public static class PROSACRobustEstimator.PROSACInliersData
extends InliersData

Contains data related to estimated inliers.

Field Summary

Fields

Modifier and Type	Field	Description
private BitSet	inliers	Efficiently stores which samples are considered inliers and which ones aren't.

Fields inherited from class com.irurueta.numerical.robust.InliersData

numInliers, residuals

Constructor Summary

Constructors

Constructor	Description
PROSACInliersData(int totalSamples, boolean keepInliers, boolean keepResiduals)

Method Summary

Modifier and Type	Method	Description
BitSet	getInliers()	Returns efficient array indicating which samples are considered inliers and which ones aren't.
protected void	update(BitSet inliers, double[] residuals, int numInliers)	Updates data contained in this instance.

Methods inherited from class com.irurueta.numerical.robust.InliersData

getNumInliers, getResiduals

Methods inherited from class java.lang.Object

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

Field Details

inliers

private BitSet inliers

Efficiently stores which samples are considered inliers and which ones aren't.

Constructor Details

PROSACInliersData

public PROSACInliersData(int totalSamples,
 boolean keepInliers,
 boolean keepResiduals)

Method Details

getInliers

public BitSet getInliers()

Returns efficient array indicating which samples are considered inliers and which ones aren't.

Specified by:

getInliers in class InliersData

Returns:

array indicating which samples are considered inliers and which ones aren't.

update

protected void update(BitSet inliers,
 double[] residuals,
 int numInliers)

Updates data contained in this instance.

Parameters:

inliers - efficiently stores which samples are considered inliers and which ones aren't.

residuals - residuals obtained for each sample of data.

numInliers - number of inliers found on current iteration.