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Methods for the extraction of low-level image features, including global image features and pixel/patch classification models.

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/**
 * 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
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 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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package org.openimaj.image.model.landmark;

import org.openimaj.image.Image;
import org.openimaj.math.geometry.point.Point2d;
import org.openimaj.math.geometry.point.PointList;
import org.openimaj.util.pair.ObjectFloatPair;

/**
 * A {@link LandmarkModel} models local image content and provides functionality
 * to move a point in an image to a nearby point with a lower cost than at the
 * initial point.
 * 

* Landmarks are normally associated with points in {@link PointList}s and thus * quite often have an associated "intrinsic scale". This scale can be used to * dynamically change the size of the support region of a landmark so that is * scales with the {@link PointList}s intrinsic scale. * * @author Jonathon Hare ([email protected]) * * @param * Type of image */ public interface LandmarkModel> { /** * Update the internal model of local image content by adding information * from the provided image. * * @param image * the image * @param point * the point in the image representing the landmark * @param pointList * the pointList to which the point belongs */ public void updateModel(I image, Point2d point, PointList pointList); /** * Evaluate the cost function using the given image and point. Lower costs * indicate better fits. * * @param image * the image * @param point * the point in the image * @param pointList * the pointList to which the point belongs * @return the cost */ public float computeCost(I image, Point2d point, PointList pointList); /** * Estimate an improved fit based on a local neighbourhood search. Returns * the new best point and the distance moved normalised by the size of the * search area. If the point didn't move, then the distance would be 0; if * the point moved to the extremity of the search region, it would be 1.0. * * @param image * the image * @param initial * the initial point in the image * @param pointList * the pointList to which the point belongs * @return the updated point */ public ObjectFloatPair updatePosition(I image, Point2d initial, PointList pointList); }