InliersDataRefiner.java
/*
* Copyright (C) 2017 Alberto Irurueta Carro (alberto@irurueta.com)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.irurueta.geometry.refiners;
import com.irurueta.geometry.estimators.LockedException;
import com.irurueta.numerical.robust.InliersData;
import java.util.BitSet;
/**
* Refines an instance of type T by taking into account an initial estimation,
* inlier matches and their residuals.
* This class can be used to find a solution that minimizes error of inliers in
* LMSE terms.
* Typically, a refiner is used by a robust estimator, however it can also be
* useful in some other situations.
*
* @param <T> type of instance to be refined.
*/
public abstract class InliersDataRefiner<T> extends Refiner<T> {
/**
* Array indicating which of the provided matches are inliers.
*/
protected BitSet inliers;
/**
* Residuals for matched data corresponding to the initial estimation.
* Residuals are used to determine the amount of precision of each match
* in order to find a refined solution that minimizes the LMSE error of all
* inlier matches.
*/
protected double[] residuals;
/**
* Number of inliers on initial estimation.
*/
protected int numInliers;
/**
* Constructor.
*/
protected InliersDataRefiner() {
}
/**
* Constructor.
*
* @param initialEstimation initial estimation to be set.
* @param keepCovariance true if covariance of estimation must be kept after
* refinement, false otherwise.
* @param inliers set indicating which of the provided matches are inliers.
* @param residuals residuals for matched samples.
* @param numInliers number of inliers on initial estimation.
*/
protected InliersDataRefiner(final T initialEstimation, final boolean keepCovariance, final BitSet inliers,
final double[] residuals, final int numInliers) {
super(initialEstimation, keepCovariance);
this.inliers = inliers;
this.residuals = residuals;
this.numInliers = numInliers;
}
/**
* Constructor.
*
* @param initialEstimation initial estimation to be set.
* @param keepCovariance true if covariance of estimation must be kept after
* refinement, false otherwise.
* @param inliersData inlier data, typically obtained from a robust
* estimator.
*/
protected InliersDataRefiner(final T initialEstimation, final boolean keepCovariance,
final InliersData inliersData) {
super(initialEstimation, keepCovariance);
inliers = inliersData.getInliers();
residuals = inliersData.getResiduals();
numInliers = inliersData.getNumInliers();
}
/**
* Gets set indicating which of the provided matches are inliers.
*
* @return set indicating which of the provided matches are inliers.
*/
public BitSet getInliers() {
return inliers;
}
/**
* Specifies set indicating which of the provided matches are inliers.
*
* @param inliers set indicating which of the provided matches are inliers.
* @throws LockedException if estimator is locked.
*/
public void setInliers(final BitSet inliers) throws LockedException {
if (isLocked()) {
throw new LockedException();
}
this.inliers = inliers;
}
/**
* Gets residuals for matched samples corresponding to the initial
* estimation.
* Residuals are used to determine the amount of precision of each matched
* sample in order to find a refined solution that minimizes the LMSE error
* of all inlier matches.
*
* @return residuals for matched samples.
*/
public double[] getResiduals() {
return residuals;
}
/**
* Sets residuals for matched samples corresponding to the initial
* estimation.
* Residuals are used to determine the amount of precision of each matched
* sample in order to find a refined solution that minimizes the LMSE error
* of all inlier matches.
*
* @param residuals residuals for matched samples.
* @throws LockedException if estimator is locked.
*/
public void setResiduals(final double[] residuals) throws LockedException {
if (isLocked()) {
throw new LockedException();
}
this.residuals = residuals;
}
/**
* Gets number of inliers on initial estimation.
*
* @return number of inliers on initial estimation.
*/
public int getNumInliers() {
return numInliers;
}
/**
* Sets number of inliers on initial estimation.
*
* @param numInliers number of inliers on initial estimation.
* @throws LockedException if estimator is locked.
* @throws IllegalArgumentException if provided value is zero or negative.
*/
public void setNumInliers(final int numInliers) throws LockedException {
if (isLocked()) {
throw new LockedException();
}
if (numInliers <= 0) {
throw new IllegalArgumentException();
}
this.numInliers = numInliers;
}
/**
* Gets total number of provided matched samples.
*
* @return total number of provided matched samples.
*/
public int getTotalSamples() {
return residuals != null ? residuals.length : 0;
}
/**
* Sets inlier data.
*
* @param inliersData inlier data, typically obtained from a robust
* estimator.
* @throws LockedException if estimator is locked.
*/
public void setInliersData(final InliersData inliersData) throws LockedException {
if (isLocked()) {
throw new LockedException();
}
inliers = inliersData.getInliers();
residuals = inliersData.getResiduals();
numInliers = inliersData.getNumInliers();
}
}