Accuracy2D.java
/*
* Copyright (C) 2018 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;
import com.irurueta.algebra.ArrayUtils;
import com.irurueta.algebra.Matrix;
import com.irurueta.algebra.NonSymmetricPositiveDefiniteMatrixException;
/**
* Contains methods to convert covariance matrices into ellipses representing accuracy
* with requested confidence.
*/
public class Accuracy2D extends Accuracy {
/**
* Constructor.
*/
public Accuracy2D() {
super();
}
/**
* Constructor.
*
* @param covarianceMatrix covariance matrix to be set. Must be 2x2 and positive
* definite.
* @throws IllegalArgumentException if provided matrix is not square (it must also be
* positive definite to be properly converted to an ellipse).
* @throws NonSymmetricPositiveDefiniteMatrixException if provided matrix is not symmetric and
* positive definite.
*/
public Accuracy2D(final Matrix covarianceMatrix) throws NonSymmetricPositiveDefiniteMatrixException {
super(covarianceMatrix);
}
/**
* Constructor.
*
* @param confidence confidence of provided accuracy of an estimated position.
* @throws IllegalArgumentException if provided value is not within 0 and 1.
*/
public Accuracy2D(final double confidence) {
super(confidence);
}
/**
* Constructor.
*
* @param covarianceMatrix covariance matrix to be set. Must be 2x2 and positive
* definite.
* @param confidence confidence of provided accuracy of an estimated position.
* @throws IllegalArgumentException if provided matrix is not square (it must also be
* positive definite to be properly converted to an ellipse), or
* if provided confidence value is not within 0 and 1.
* @throws NonSymmetricPositiveDefiniteMatrixException if provided matrix is not symmetric and
* positive definite.
*/
public Accuracy2D(final Matrix covarianceMatrix, final double confidence)
throws NonSymmetricPositiveDefiniteMatrixException {
super(covarianceMatrix, confidence);
}
/**
* Gets number of dimensions.
*
* @return always returns 2.
*/
@Override
public int getNumberOfDimensions() {
return Point2D.POINT2D_INHOMOGENEOUS_COORDINATES_LENGTH;
}
/**
* Converts provided covariance matrix into a 2D ellipse taking into account current
* confidence and standard deviation factor.
*
* @return ellipse representing accuracy of covariance matrix with current confidence and
* standard deviation factor.
* @throws NullPointerException if covariance matrix has not been provided yet.
* @throws InvalidRotationMatrixException if rotation cannot be properly determined.
*/
public Ellipse toEllipse() throws InvalidRotationMatrixException {
final var semiAxesLengths = ArrayUtils.multiplyByScalarAndReturnNew(sqrtSingularValues,
standardDeviationFactor);
final var rotation = new Rotation2D(u);
return new Ellipse(Point2D.create(), semiAxesLengths[0], semiAxesLengths[1], rotation);
}
}