/* * Copyright (c) 2011-2015, Peter Abeles. All Rights Reserved. * * This file is part of BoofCV (http://boofcv.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 boofcv.alg.geo.robust; import boofcv.struct.geo.AssociatedPair; import georegression.struct.point.Point2D_F64; import georegression.struct.se.Se2_F64; import georegression.transform.se.SePointOps_F64; import org.ddogleg.fitting.modelset.DistanceFromModel; import java.util.Random; /** * @author Peter Abeles */ public class TestDistanceSe2Sq extends StandardDistanceTest<Se2_F64, AssociatedPair> { Random rand = new Random(234); @Override public DistanceFromModel<Se2_F64, AssociatedPair> create() { return new DistanceSe2Sq(); } @Override public Se2_F64 createRandomModel() { double x = rand.nextDouble()*5; double y = rand.nextDouble()*5; double yaw = 2*rand.nextDouble()*Math.PI; return new Se2_F64(x,y,yaw); } @Override public AssociatedPair createRandomData() { Point2D_F64 p1 = new Point2D_F64(rand.nextGaussian(),rand.nextGaussian()); Point2D_F64 p2 = new Point2D_F64(rand.nextGaussian(),rand.nextGaussian()); return new AssociatedPair(p1,p2); } @Override public double distance(Se2_F64 h, AssociatedPair obs) { Point2D_F64 result = new Point2D_F64(); SePointOps_F64.transform(h, obs.p1, result); return result.distance2(obs.p2); } }