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Methods for the extraction of low-level image features, including global image features and pixel/patch classification models.
/**
* 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
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*/
package org.openimaj.image.model.landmark;
import org.openimaj.image.FImage;
import org.openimaj.image.analysis.algorithm.TemplateMatcher;
import org.openimaj.image.analysis.algorithm.TemplateMatcher.Mode;
import org.openimaj.image.pixel.FValuePixel;
import org.openimaj.math.geometry.point.Point2d;
import org.openimaj.math.geometry.point.PointList;
import org.openimaj.math.geometry.shape.Rectangle;
import org.openimaj.util.pair.ObjectFloatPair;
/**
* An {@link FPatchLandmarkModel} is a landmark represented by the
* local patch of pixels around of a point in an {@link FImage}.
*
* @author Jonathon Hare ([email protected])
*/
public class FPatchLandmarkModel implements LandmarkModel {
/**
* A factory for producing {@link FPatchLandmarkModel}s
*
* @author Jonathon Hare ([email protected])
*/
public static class Factory implements LandmarkModelFactory {
@Override
public LandmarkModel createLandmarkModel() {
return new FPatchLandmarkModel();
}
@Override
public LandmarkModel createLandmarkModel(float scaleFactor) {
return new FPatchLandmarkModel();
}
}
int blockSize = 11;
int searchSize = 31;
FImage average;
int n = 0;
TemplateMatcher matcher;
protected Rectangle getROI(int x, int y, int w, int h) {
if(w % 2 == 0 ) w+=1;
if(h % 2 == 0 ) h+=1;
int roiX = Math.max(0,x-(int)(w/2.0));
int roiY = Math.max(0,y-(int)(h/2.0));
int newWidth = (int)(w / 2.0) + 1 + (x - roiX);
int newHeight = (int)(h / 2.0) + 1 + (y - roiY);
return new Rectangle(roiX, roiY, newWidth, newHeight);
}
protected FImage extractBlock(FImage image, Point2d pt, int sz) {
return image.extractROI(getROI((int)pt.getX(), (int)pt.getY(), sz, sz));
}
@Override
public void updateModel(FImage image, Point2d point, PointList pointList) {
FImage extracted = extractBlock(image, point, blockSize);
n++;
if (average == null) {
average = extracted;
} else {
average.addInplace( extracted.subtractInplace(average).divide((float)n) );
}
matcher = null;
}
@Override
public float computeCost(FImage image, Point2d point, PointList pointList) {
FImage extracted = extractBlock(image, point, blockSize);
if (matcher == null)
matcher = new TemplateMatcher(average, Mode.NORM_SUM_SQUARED_DIFFERENCE);
matcher.setSearchBounds(null);
extracted.analyseWith(matcher);
return matcher.getResponseMap().pixels[0][0];
}
@Override
public ObjectFloatPair updatePosition(FImage image, Point2d initial, PointList pointList) {
Rectangle roi = getROI((int)initial.getX(), (int)initial.getY(), searchSize, searchSize);
if (matcher == null)
matcher = new TemplateMatcher(average, Mode.NORM_SUM_SQUARED_DIFFERENCE);
matcher.setSearchBounds(roi);
image.analyseWith(matcher);
FValuePixel p = matcher.getBestResponses(1)[0];
return new ObjectFloatPair(p, 0);
}
}
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