001/** 002 * Copyright (c) 2011, The University of Southampton and the individual contributors. 003 * All rights reserved. 004 * 005 * Redistribution and use in source and binary forms, with or without modification, 006 * are permitted provided that the following conditions are met: 007 * 008 * * Redistributions of source code must retain the above copyright notice, 009 * this list of conditions and the following disclaimer. 010 * 011 * * Redistributions in binary form must reproduce the above copyright notice, 012 * this list of conditions and the following disclaimer in the documentation 013 * and/or other materials provided with the distribution. 014 * 015 * * Neither the name of the University of Southampton nor the names of its 016 * contributors may be used to endorse or promote products derived from this 017 * software without specific prior written permission. 018 * 019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND 020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR 023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES 024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON 026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 029 */ 030package org.openimaj.image.processing.face.feature; 031 032import java.io.DataInput; 033import java.io.DataOutput; 034import java.io.IOException; 035 036import org.openimaj.feature.FeatureVectorProvider; 037import org.openimaj.feature.FloatFV; 038import org.openimaj.image.FImage; 039import org.openimaj.image.feature.FImage2FloatFV; 040import org.openimaj.image.processing.face.alignment.FaceAligner; 041import org.openimaj.image.processing.face.alignment.ScalingAligner; 042import org.openimaj.image.processing.face.detection.DetectedFace; 043import org.openimaj.io.IOUtils; 044 045/** 046 * A {@link FacialFeature} that is just the pixel values 047 * of a (possibly aligned) face detection. 048 * 049 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk) 050 * 051 */ 052public class FaceImageFeature implements FacialFeature, FeatureVectorProvider<FloatFV> { 053 /** 054 * A {@link FacialFeatureExtractor} for producing {@link FaceImageFeature}s. 055 * 056 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk) 057 * 058 * @param <T> Type of {@link DetectedFace} 059 */ 060 public static class Extractor<T extends DetectedFace> implements FacialFeatureExtractor<FaceImageFeature, T> { 061 FaceAligner<T> aligner; 062 063 /** 064 * Construct with a {@link ScalingAligner} with its default resolution 065 */ 066 public Extractor() { 067 this(new ScalingAligner<T>()); 068 } 069 070 /** 071 * Construct with an aligner 072 * @param aligner the aligner 073 */ 074 public Extractor(FaceAligner<T> aligner) { 075 this.aligner = aligner; 076 } 077 078 @Override 079 public FaceImageFeature extractFeature(T face) { 080 FImage faceImage = aligner.align(face); 081 FloatFV feature = FImage2FloatFV.INSTANCE.extractFeature(faceImage); 082 083 return new FaceImageFeature(feature); 084 } 085 086 @Override 087 public void readBinary(DataInput in) throws IOException { 088 String alignerClass = in.readUTF(); 089 aligner = IOUtils.newInstance(alignerClass); 090 aligner.readBinary(in); 091 } 092 093 @Override 094 public byte[] binaryHeader() { 095 return this.getClass().getName().getBytes(); 096 } 097 098 @Override 099 public void writeBinary(DataOutput out) throws IOException { 100 out.writeUTF(aligner.getClass().getName()); 101 aligner.writeBinary(out); 102 } 103 } 104 105 private FloatFV feature; 106 107 /** 108 * Construct with the given feature 109 * 110 * @param feature 111 */ 112 public FaceImageFeature(FloatFV feature) { 113 this.feature = feature; 114 } 115 116 @Override 117 public void readBinary(DataInput in) throws IOException { 118 feature = new FloatFV(); 119 feature.readBinary(in); 120 } 121 122 @Override 123 public byte[] binaryHeader() { 124 return this.getClass().getName().getBytes(); 125 } 126 127 @Override 128 public void writeBinary(DataOutput out) throws IOException { 129 feature.writeBinary(out); 130 } 131 132 @Override 133 public FloatFV getFeatureVector() { 134 return feature; 135 } 136}