org.openimaj.image.processing.face.feature.FaceImageFeature Maven / Gradle / Ivy
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Implementation of a flexible face-recognition pipeline,
including pluggable detectors, aligners, feature extractors
and recognisers.
/**
* 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.processing.face.feature;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import org.openimaj.feature.FeatureVectorProvider;
import org.openimaj.feature.FloatFV;
import org.openimaj.image.FImage;
import org.openimaj.image.feature.FImage2FloatFV;
import org.openimaj.image.processing.face.alignment.FaceAligner;
import org.openimaj.image.processing.face.alignment.ScalingAligner;
import org.openimaj.image.processing.face.detection.DetectedFace;
import org.openimaj.io.IOUtils;
/**
* A {@link FacialFeature} that is just the pixel values
* of a (possibly aligned) face detection.
*
* @author Jonathon Hare ([email protected])
*
*/
public class FaceImageFeature implements FacialFeature, FeatureVectorProvider {
/**
* A {@link FacialFeatureExtractor} for producing {@link FaceImageFeature}s.
*
* @author Jonathon Hare ([email protected])
*
* @param Type of {@link DetectedFace}
*/
public static class Extractor implements FacialFeatureExtractor {
FaceAligner aligner;
/**
* Construct with a {@link ScalingAligner} with its default resolution
*/
public Extractor() {
this(new ScalingAligner());
}
/**
* Construct with an aligner
* @param aligner the aligner
*/
public Extractor(FaceAligner aligner) {
this.aligner = aligner;
}
@Override
public FaceImageFeature extractFeature(T face) {
FImage faceImage = aligner.align(face);
FloatFV feature = FImage2FloatFV.INSTANCE.extractFeature(faceImage);
return new FaceImageFeature(feature);
}
@Override
public void readBinary(DataInput in) throws IOException {
String alignerClass = in.readUTF();
aligner = IOUtils.newInstance(alignerClass);
aligner.readBinary(in);
}
@Override
public byte[] binaryHeader() {
return this.getClass().getName().getBytes();
}
@Override
public void writeBinary(DataOutput out) throws IOException {
out.writeUTF(aligner.getClass().getName());
aligner.writeBinary(out);
}
}
private FloatFV feature;
/**
* Construct with the given feature
*
* @param feature
*/
public FaceImageFeature(FloatFV feature) {
this.feature = feature;
}
@Override
public void readBinary(DataInput in) throws IOException {
feature = new FloatFV();
feature.readBinary(in);
}
@Override
public byte[] binaryHeader() {
return this.getClass().getName().getBytes();
}
@Override
public void writeBinary(DataOutput out) throws IOException {
feature.writeBinary(out);
}
@Override
public FloatFV getFeatureVector() {
return feature;
}
}