PairMatchesAndInliersDataRefiner.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;
import java.util.List;
/**
* Refines an instance of type T by taking into account an initial estimation,
* inlier matches, their residuals and pairs of matches samples.
* 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.
* @param <S1> type of matched samples in 1st set.
* @param <S2> type of matched samples in 2nd set.
*/
public abstract class PairMatchesAndInliersDataRefiner<T, S1, S2> extends InliersDataRefiner<T> {
/**
* 1st set of paired samples.
*/
protected List<S1> samples1;
/**
* 2nd set of paired samples.
*/
protected List<S2> samples2;
/**
* Constructor.
*/
protected PairMatchesAndInliersDataRefiner() {
}
/**
* 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.
* @param samples1 1st set of paired samples.
* @param samples2 2nd set of paired samples.
*/
protected PairMatchesAndInliersDataRefiner(
final T initialEstimation, final boolean keepCovariance, final BitSet inliers,
final double[] residuals, final int numInliers, final List<S1> samples1, final List<S2> samples2) {
super(initialEstimation, keepCovariance, inliers, residuals, numInliers);
this.samples1 = samples1;
this.samples2 = samples2;
}
/**
* 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.
* @param samples1 1st set of paired samples.
* @param samples2 2nd set of paired samples.
*/
protected PairMatchesAndInliersDataRefiner(
final T initialEstimation, final boolean keepCovariance, final InliersData inliersData,
final List<S1> samples1, final List<S2> samples2) {
super(initialEstimation, keepCovariance, inliersData);
this.samples1 = samples1;
this.samples2 = samples2;
}
/**
* Gets 1st set of paired samples.
*
* @return 1st set of paired samples.
*/
public List<S1> getSamples1() {
return samples1;
}
/**
* Sets 1st set of paired samples.
*
* @param samples1 1st set of paired samples.
* @throws LockedException if estimator is locked.
*/
public void setSamples1(final List<S1> samples1) throws LockedException {
if (isLocked()) {
throw new LockedException();
}
this.samples1 = samples1;
}
/**
* Gets 2nd set of paired samples.
*
* @return 2nd set of paired samples.
*/
public List<S2> getSamples2() {
return samples2;
}
/**
* Sets 2nd set of paired samples.
*
* @param samples2 2nd set of paired samples.
* @throws LockedException if estimator is locked.
*/
public void setSamples2(final List<S2> samples2) throws LockedException {
if (isLocked()) {
throw new LockedException();
}
this.samples2 = samples2;
}
/**
* Indicates whether this refiner is ready to start refinement computation.
*
* @return true if refiner is ready, false otherwise.
*/
@Override
public boolean isReady() {
return initialEstimation != null && inliers != null && residuals != null && samples1 != null
&& samples2 != null && residuals.length == samples1.size() && samples1.size() == samples2.size()
&& numInliers > 0;
}
}