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DDogleg Numerics is a high performance Java library for non-linear optimization, robust model fitting, polynomial root finding, sorting, and more.

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/*
 * Copyright (c) 2012-2013, Peter Abeles. All Rights Reserved.
 *
 * This file is part of DDogleg (http://ddogleg.org).
 *
 * 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 org.ddogleg.solver;

import org.ejml.data.DenseMatrix64F;
import org.ejml.factory.LinearSolver;
import org.ejml.factory.LinearSolverFactory;

/**
 * 

* Fit observations to a 2D quadratic around a 3x3 region. Observations are specified in a local * coordinate system with indexes from -1 to 1. Typically the maximum value is at the local center, * (0,0) coordinate. *

* *

* Even if the center pixel is the max value, it is still possible for peak to be found outside the * 3x3 region. In that situation what happened is that it fit the points inside 3x3 region to one side * of the curve. In many applications the estimate should then be ignored. * If the minimum number of points was being considered then it would be impossible to go outside since * it must pass through each sample point. *

* * @author Peter Abeles */ public class FitQuadratic3by3 { LinearSolver solver = LinearSolverFactory.leastSquares(9, 6); DenseMatrix64F X = new DenseMatrix64F(6,1); DenseMatrix64F Y = new DenseMatrix64F(9,1); double deltaX; double deltaY; public FitQuadratic3by3() { DenseMatrix64F M = new DenseMatrix64F(9,6); int index = 0; for( int i = -1; i <= 1; i++ ) { for( int j = -1; j <= 1; j++ , index++ ) { M.set(index,0,j*j); M.set(index,1,i*j); M.set(index,2,i*i); M.set(index,3,j); M.set(index,4,i); M.set(index,5,1); } } if( !solver.setA(M) ) throw new RuntimeException("Solver is broken"); } /** * Sets the value by index. A row-major matrix is used. * index = (y+1)*3+x+1 * * @param index Array index from 0 to 8 * @param value value at index */ public void setValue( int index , double value ) { Y.set(index,value); } /** * Sets the observed value by coordinate point. * * @param x x-coordinate.-1 to 1 * @param y y-coordinate -1 to 1 * @param value Observed value at that coordinate */ public void setValue( int x , int y , double value ) { setValue((y+1)*3+x+1,value); } /** * Computes the maximum. */ public void process() { solver.solve(Y,X); double a = X.data[0]; double b = X.data[1]; double c = X.data[2]; double d = X.data[3]; double e = X.data[4]; double bottom = 4*a*c - b*b; deltaX = (b*e - 2*d*c)/bottom; deltaY = (b*d - 2*a*e)/bottom; } public double getDeltaX() { return deltaX; } public double getDeltaY() { return deltaY; } }




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