org.openimaj.feature.local.matcher.quantised.BasicQuantisedKeypointMatcher Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of image-local-features Show documentation

Methods for the extraction of local features. Local features are descriptions of regions of images (SIFT, ...) selected by detectors (Difference of Gaussian, Harris, ...).

There is a newer version: 1.3.10

Show newest version

/**
 * Copyright (c) 2011, The University of Southampton and the individual contributors.
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without modification,
 * are permitted provided that the following conditions are met:
 *
 *   * 	Redistributions of source code must retain the above copyright notice,
 * 	this list of conditions and the following disclaimer.
 *
 *   *	Redistributions in binary form must reproduce the above copyright notice,
 * 	this list of conditions and the following disclaimer in the documentation
 * 	and/or other materials provided with the distribution.
 *
 *   *	Neither the name of the University of Southampton nor the names of its
 * 	contributors may be used to endorse or promote products derived from this
 * 	software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */
package org.openimaj.feature.local.matcher.quantised;

import gnu.trove.map.hash.TIntObjectHashMap;

import java.util.ArrayList;
import java.util.List;

import org.openimaj.feature.local.quantised.QuantisedLocalFeature;
import org.openimaj.feature.local.matcher.LocalFeatureMatcher;
import org.openimaj.util.pair.Pair;


/**
 * Simple matcher for quantised features. Features match if they
 * have the same id.
 *  
 * @author Jonathon Hare ([email protected])
 * @param  
 *
 */
public class BasicQuantisedKeypointMatcher> implements LocalFeatureMatcher {
	protected TIntObjectHashMap> modelKeypoints;
	protected List > matches;
	protected boolean allowMultiple;
	
	/**
	 * Match quantised keypoints
	 * @param allowMultiple
	 */
	public BasicQuantisedKeypointMatcher(boolean allowMultiple)
	{
		this.allowMultiple = allowMultiple;
	}
	
	@Override
	public List> getMatches() {
		return matches;
	}
	
	@Override
	public boolean findMatches(List keys1)
	{
		matches = new ArrayList>();
		
	    for (T k : keys1) {
	    	if (modelKeypoints.contains(k.id)) {
	    		if (allowMultiple || modelKeypoints.get(k.id).size() == 1) {
	    			for (T match : modelKeypoints.get(k.id)) {
	    				matches.add(new Pair(k, match));
	    			}
	    		}
	    	}
	    }
	    
	    return true;
	}

	@Override
	public void setModelFeatures(List modelkeys) {
		modelKeypoints = new TIntObjectHashMap>();
		for (T k : modelkeys) {
			if (!modelKeypoints.contains(k.id))
				modelKeypoints.put(k.id, new ArrayList());
			modelKeypoints.get(k.id).add(k);
		}
	}
}