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.affine; 031 032import org.openimaj.citation.annotation.Reference; 033import org.openimaj.citation.annotation.ReferenceType; 034import org.openimaj.feature.local.list.LocalFeatureList; 035import org.openimaj.feature.local.list.MemoryLocalFeatureList; 036import org.openimaj.image.FImage; 037import org.openimaj.image.Image; 038import org.openimaj.image.feature.local.engine.DoGSIFTEngine; 039import org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions; 040import org.openimaj.image.feature.local.engine.Engine; 041import org.openimaj.image.feature.local.keypoints.Keypoint; 042import org.openimaj.image.processor.SinglebandImageProcessor; 043 044/** 045 * Abstract base implementation of Affine-simulated SIFT (ASIFT). 046 * <p> 047 * This is implemented as an extension of the {@link AffineSimulationExtractor} 048 * which uses a {@link DoGSIFTEngine} to extract SIFT features from each affine 049 * simulation. 050 * 051 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk) 052 * @author Sina Samangooei (ss@ecs.soton.ac.uk) 053 * 054 * @param <I> 055 * Type of image 056 * @param <P> 057 * Type of pixel 058 */ 059@Reference( 060 type = ReferenceType.Article, 061 author = { "Morel, Jean-Michel", "Yu, Guoshen" }, 062 title = "{ASIFT: A New Framework for Fully Affine Invariant Image Comparison}", 063 year = "2009", 064 journal = "SIAM J. Img. Sci.", 065 publisher = "Society for Industrial and Applied Mathematics") 066public abstract class ASIFT<I extends Image<P, I> & SinglebandImageProcessor.Processable<Float, FImage, I>, P> 067extends 068AffineSimulationExtractor<LocalFeatureList<Keypoint>, Keypoint, I, P> 069{ 070 Engine<Keypoint, I> keypointEngine; 071 072 /** 073 * A commonly used option, while all others in {@link DoGSIFTEngineOptions} 074 * are default 075 * 076 * @param hires 077 * whether the image should be double sized as a first step 078 */ 079 public ASIFT(boolean hires) { 080 super(); 081 082 final DoGSIFTEngineOptions<I> opts = new DoGSIFTEngineOptions<I>(); 083 opts.setDoubleInitialImage(hires); 084 keypointEngine = this.constructEngine(opts); 085 } 086 087 /** 088 * @param opts 089 * the options required by {@link DoGSIFTEngine} instances 090 */ 091 public ASIFT(DoGSIFTEngineOptions<I> opts) { 092 super(); 093 keypointEngine = this.constructEngine(opts); 094 } 095 096 /** 097 * An engine which can process images of type <I> and output keypoints 098 * 099 * @param opts 100 * @return various engines 101 */ 102 public abstract Engine<Keypoint, I> constructEngine(DoGSIFTEngineOptions<I> opts); 103 104 @Override 105 protected LocalFeatureList<Keypoint> newList() { 106 return new MemoryLocalFeatureList<Keypoint>(); 107 } 108 109 @Override 110 protected LocalFeatureList<Keypoint> detectFeatures(I image) { 111 final LocalFeatureList<Keypoint> keys = keypointEngine.findFeatures(image); 112 113 return keys; 114 } 115}