
org.openimaj.image.feature.local.keypoints.KeypointLocation 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
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, ...).
/**
* 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.local.ScaleSpaceLocation;
/**
* The location of a {@link Keypoint}.
*
* @author Jonathon Hare ([email protected])
*
*/
public class KeypointLocation extends ScaleSpaceLocation {
private static final long serialVersionUID = 1L;
/**
* The dominant orientation of the {@link Keypoint}
*/
public float orientation;
/**
* Construct with zero location, orientation and scale.
*/
public KeypointLocation() {
}
/**
* Construct with the given parameters
*
* @param x
* x-ordinate of feature
* @param y
* y-ordinate of feature
* @param scale
* scale of feature
* @param orientation
* orientation of feature
*/
public KeypointLocation(float x, float y, float orientation, float scale) {
super(x, y, scale);
this.orientation = orientation;
}
@Override
public void writeBinary(DataOutput out) throws IOException {
out.writeFloat(this.x);
out.writeFloat(this.y);
out.writeFloat(this.scale);
out.writeFloat(this.orientation);
}
@Override
public void writeASCII(PrintWriter out) throws IOException {
// for legacy reasons ascii format writes y, x, scale, ori
out.format("%4.2f %4.2f %4.2f %4.3f", y, x, scale, orientation);
out.println();
}
@Override
public void readBinary(DataInput in) throws IOException {
super.readBinary(in);
orientation = in.readFloat();
}
@Override
public void readASCII(Scanner in) throws IOException {
super.readASCII(in);
orientation = Float.parseFloat(in.next());
}
@Override
public byte[] binaryHeader() {
return "".getBytes();
}
@Override
public String asciiHeader() {
return "";
}
@Override
public Float getOrdinate(int dimension) {
final float[] pos = { x, y, scale, orientation };
return pos[dimension];
}
@Override
public int getDimensions() {
return 3;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy