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Methods for the extraction of local features. Local features
are descriptions of regions of images (SIFT, ...) selected by
detectors (Difference of Gaussian, Harris, ...).
/**
* 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.image.feature.local.keypoints;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.Scanner;
import org.openimaj.feature.OrientedFeatureVector;
import org.openimaj.image.feature.local.interest.InterestPointData;
/**
* An oriented feature with at a location defined by an
* {@link InterestPointData}.
*
* @author Sina Samangooei ([email protected])
*
* @param
* The type of {@link InterestPointData}
*/
public abstract class InterestPointKeypoint extends Keypoint {
/**
*
*/
private static final long serialVersionUID = 1L;
/**
* The feature location
*/
public T location;
/**
* Construct with a null
location and default length feature
*/
public InterestPointKeypoint() {
}
/**
* Construct with a null
location and feature of the given
* length
*
* @param length
* the feature length
*/
public InterestPointKeypoint(int length) {
super(length);
}
/**
* @param featureVector
* the feature vector containing orientation and the byte[]
* @param point
* the location and shape of the interest point
*/
public InterestPointKeypoint(OrientedFeatureVector featureVector, T point) {
this.ivec = featureVector.values.clone();
this.location = point;
this.x = this.location.x;
this.y = this.location.y;
this.scale = this.location.scale;
this.ori = featureVector.orientation;
}
/**
* @return create a new {@link InterestPointData} compatible with this
* feature
*/
public abstract T createEmptyLocation();
@Override
public void readBinary(DataInput in) throws IOException {
super.readBinary(in);
location = createEmptyLocation();
location.readBinary(in);
}
@Override
public void readASCII(Scanner in) throws IOException {
super.readASCII(in);
location = createEmptyLocation();
location.readASCII(in);
}
@Override
public byte[] binaryHeader() {
return super.binaryHeader();
}
@Override
public String asciiHeader() {
return super.asciiHeader();
}
@Override
public void writeBinary(DataOutput out) throws IOException {
super.writeBinary(out);
this.location.writeBinary(out);
}
@Override
public void writeASCII(PrintWriter out) throws IOException {
super.writeASCII(out);
this.location.writeASCII(out);
}
}
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