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.image.feature.local.engine;
031
032import org.openimaj.feature.local.list.LocalFeatureList;
033import org.openimaj.image.FImage;
034import org.openimaj.image.analysis.pyramid.gaussian.GaussianOctave;
035import org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramid;
036import org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider;
037import org.openimaj.image.feature.local.detector.dog.collector.Collector;
038import org.openimaj.image.feature.local.detector.dog.collector.OctaveKeypointCollector;
039import org.openimaj.image.feature.local.detector.dog.extractor.GradientFeatureExtractor;
040import org.openimaj.image.feature.local.detector.dog.extractor.NullOrientationExtractor;
041import org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctaveExtremaFinder;
042import org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder;
043import org.openimaj.image.feature.local.detector.pyramid.OctaveInterestPointFinder;
044import org.openimaj.image.feature.local.keypoints.Keypoint;
045
046/**
047 * SIFT engine that isn't rotation invariant (using 
048 * {@link NullOrientationExtractor}) and uses the 
049 * {@link IrregularBinningSIFTFeatureProvider}.
050 * 
051 * @author Sina Samangooei (ss@ecs.soton.ac.uk)
052 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk)
053 */
054public class ALTDoGSIFTEngine extends DoGSIFTEngine {
055        @Override
056        public LocalFeatureList<Keypoint> findFeatures(FImage image) {
057                OctaveInterestPointFinder<GaussianOctave<FImage>, FImage> finder = 
058                        new DoGOctaveExtremaFinder(new BasicOctaveExtremaFinder(options.magnitudeThreshold, options.eigenvalueRatio));
059                
060                Collector<GaussianOctave<FImage>, Keypoint, FImage> collector = new OctaveKeypointCollector<FImage>(
061                                new GradientFeatureExtractor(
062                                                new NullOrientationExtractor(),
063                                                new IrregularBinningSIFTFeatureProvider(options.numOriBins, options.valueThreshold), 
064                                                options.magnificationFactor * options.numSpatialBins
065                                ));
066                
067                finder.setOctaveInterestPointListener(collector);
068                
069                options.setOctaveProcessor(finder);
070                
071                GaussianPyramid<FImage> pyr = new GaussianPyramid<FImage>(options);
072                pyr.process(image);
073                
074                return collector.getFeatures();
075        }
076}