001/**
002 * Copyright (c) 2011, The University of Southampton and the individual contributors.
003 * All rights reserved.
004 *
005 * Redistribution and use in source and binary forms, with or without modification,
006 * are permitted provided that the following conditions are met:
007 *
008 *   *  Redistributions of source code must retain the above copyright notice,
009 *      this list of conditions and the following disclaimer.
010 *
011 *   *  Redistributions in binary form must reproduce the above copyright notice,
012 *      this list of conditions and the following disclaimer in the documentation
013 *      and/or other materials provided with the distribution.
014 *
015 *   *  Neither the name of the University of Southampton nor the names of its
016 *      contributors may be used to endorse or promote products derived from this
017 *      software without specific prior written permission.
018 *
019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
029 */
030package org.openimaj.docs.tutorial.fund.images.siftmatch;
031
032import java.io.IOException;
033import java.net.URL;
034
035import org.openimaj.feature.local.list.LocalFeatureList;
036import org.openimaj.feature.local.matcher.BasicMatcher;
037import org.openimaj.feature.local.matcher.FastBasicKeypointMatcher;
038import org.openimaj.feature.local.matcher.LocalFeatureMatcher;
039import org.openimaj.feature.local.matcher.MatchingUtilities;
040import org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d;
041import org.openimaj.image.DisplayUtilities;
042import org.openimaj.image.ImageUtilities;
043import org.openimaj.image.MBFImage;
044import org.openimaj.image.colour.RGBColour;
045import org.openimaj.image.feature.local.engine.DoGSIFTEngine;
046import org.openimaj.image.feature.local.keypoints.Keypoint;
047import org.openimaj.math.geometry.transforms.estimation.RobustAffineTransformEstimator;
048import org.openimaj.math.model.fit.RANSAC;
049
050/**
051 * OpenIMAJ Hello world!
052 *
053 */
054public class App {
055        /**
056         * Main method
057         *
058         * @param args
059         * @throws IOException
060         */
061        public static void main(String[] args) throws IOException {
062                final MBFImage query = ImageUtilities.readMBF(new URL("http://static.openimaj.org/media/tutorial/query.jpg"));
063                final MBFImage target = ImageUtilities.readMBF(new URL("http://static.openimaj.org/media/tutorial/target.jpg"));
064
065                final DoGSIFTEngine engine = new DoGSIFTEngine();
066                final LocalFeatureList<Keypoint> queryKeypoints = engine.findFeatures(query.flatten());
067                final LocalFeatureList<Keypoint> targetKeypoints = engine.findFeatures(target.flatten());
068
069                LocalFeatureMatcher<Keypoint> matcher = new BasicMatcher<Keypoint>(80);
070                matcher.setModelFeatures(queryKeypoints);
071                matcher.findMatches(targetKeypoints);
072
073                final MBFImage basicMatches = MatchingUtilities.drawMatches(query, target, matcher.getMatches(), RGBColour.RED);
074                DisplayUtilities.display(basicMatches);
075
076                final RobustAffineTransformEstimator modelFitter = new RobustAffineTransformEstimator(50.0, 1500,
077                                new RANSAC.PercentageInliersStoppingCondition(0.5));
078
079                // final RobustHomographyEstimator modelFitter = new
080                // RobustHomographyEstimator(5.0, 1500,
081                // new RANSAC.PercentageInliersStoppingCondition(0.5),
082                // HomographyRefinement.NONE);
083                matcher = new ConsistentLocalFeatureMatcher2d<Keypoint>(new FastBasicKeypointMatcher<Keypoint>(8), modelFitter);
084
085                matcher.setModelFeatures(queryKeypoints);
086                matcher.findMatches(targetKeypoints);
087                final MBFImage consistentMatches = MatchingUtilities.drawMatches(query, target,
088                                matcher.getMatches(), RGBColour.RED);
089                DisplayUtilities.display(consistentMatches);
090
091                target.drawShape(query.getBounds().transform(modelFitter.getModel().getTransform().inverse()), 3, RGBColour.BLUE);
092                DisplayUtilities.display(target);
093        }
094}