/* * Copyright (c) 2016 Vivid Solutions. * * All rights reserved. This program and the accompanying materials * are made available under the terms of the Eclipse Public License v1.0 * and Eclipse Distribution License v. 1.0 which accompanies this distribution. * The Eclipse Public License is available at http://www.eclipse.org/legal/epl-v10.html * and the Eclipse Distribution License is available at * * http://www.eclipse.org/org/documents/edl-v10.php. */ package org.locationtech.jts.geom.util; import org.locationtech.jts.geom.Coordinate; import org.locationtech.jts.math.Matrix; /** * Builds an {@link AffineTransformation} defined by a set of control vectors. * A control vector consists of a source point and a destination point, * which is the image of the source point under the desired transformation. * <p> * A transformation is well-defined * by a set of three control vectors * if and only if the source points are not collinear. * (In particular, the degenerate situation * where two or more source points are identical will not produce a well-defined transformation). * A well-defined transformation exists and is unique. * If the control vectors are not well-defined, the system of equations * defining the transformation matrix entries is not solvable, * and no transformation can be determined. * <p> * No such restriction applies to the destination points. * However, if the destination points are collinear or non-unique, * a non-invertible transformations will be generated. * <p> * This technique of recovering a transformation * from its effect on known points is used in the Bilinear Interpolated Triangulation * algorithm for warping planar surfaces. * * @author Martin Davis */ public class AffineTransformationBuilder { private Coordinate src0; private Coordinate src1; private Coordinate src2; private Coordinate dest0; private Coordinate dest1; private Coordinate dest2; // the matrix entries for the transformation private double m00, m01, m02, m10, m11, m12; /** * Constructs a new builder for * the transformation defined by the given * set of control point mappings. * * @param src0 a control point * @param src1 a control point * @param src2 a control point * @param dest0 the image of control point 0 under the required transformation * @param dest1 the image of control point 1 under the required transformation * @param dest2 the image of control point 2 under the required transformation */ public AffineTransformationBuilder(Coordinate src0, Coordinate src1, Coordinate src2, Coordinate dest0, Coordinate dest1, Coordinate dest2) { this.src0 = src0; this.src1 = src1; this.src2 = src2; this.dest0 = dest0; this.dest1 = dest1; this.dest2 = dest2; } /** * Computes the {@link AffineTransformation} * determined by the control point mappings, * or <code>null</code> if the control vectors do not determine a well-defined transformation. * * @return an affine transformation * @return null if the control vectors do not determine a well-defined transformation */ public AffineTransformation getTransformation() { // compute full 3-point transformation boolean isSolvable = compute(); if (isSolvable) return new AffineTransformation(m00, m01, m02, m10, m11, m12); return null; } /** * Computes the transformation matrix by * solving the two systems of linear equations * defined by the control point mappings, * if this is possible. * * @return true if the transformation matrix is solvable */ private boolean compute() { double[] bx = new double[] { dest0.x, dest1.x, dest2.x }; double[] row0 = solve(bx); if (row0 == null) return false; m00 = row0[0]; m01 = row0[1]; m02 = row0[2]; double[] by = new double[] { dest0.y, dest1.y, dest2.y }; double[] row1 = solve(by); if (row1 == null) return false; m10 = row1[0]; m11 = row1[1]; m12 = row1[2]; return true; } /** * Solves the transformation matrix system of linear equations * for the given right-hand side vector. * * @param b the vector for the right-hand side of the system * @return the solution vector * @return null if no solution could be determined */ private double[] solve(double[] b) { double[][] a = new double[][] { { src0.x, src0.y, 1 }, { src1.x, src1.y, 1}, { src2.x, src2.y, 1} }; return Matrix.solve(a, b); } }