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.DoubleFV; 037import org.openimaj.feature.FeatureVectorProvider; 038import org.openimaj.image.processing.face.detection.CLMDetectedFace; 039 040/** 041 * A feature-vector that describes the shape of a face through a list of 042 * eigen-weights on a point distribution model. This feature is potentially 043 * useful for classifying expressions. 044 * 045 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk) 046 */ 047public class CLMShapeFeature implements FacialFeature, FeatureVectorProvider<DoubleFV> { 048 /** 049 * A {@link FacialFeatureExtractor} for providing {@link CLMShapeFeature}s. 050 * 051 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk) 052 */ 053 public static class Extractor implements FacialFeatureExtractor<CLMShapeFeature, CLMDetectedFace> { 054 @Override 055 public CLMShapeFeature extractFeature(CLMDetectedFace face) { 056 return new CLMShapeFeature(face.getShapeParameters()); 057 } 058 059 @Override 060 public void readBinary(DataInput in) throws IOException { 061 // nothing to do 062 } 063 064 @Override 065 public byte[] binaryHeader() { 066 return this.getClass().getName().getBytes(); 067 } 068 069 @Override 070 public void writeBinary(DataOutput out) throws IOException { 071 // nothing to do 072 } 073 } 074 075 private DoubleFV fv; 076 077 protected CLMShapeFeature() { 078 this(null); 079 } 080 081 /** 082 * Construct the {@link CLMShapeFeature} with the given feature vector. 083 * 084 * @param fv 085 * the feature vector 086 */ 087 public CLMShapeFeature(DoubleFV fv) { 088 this.fv = fv; 089 } 090 091 @Override 092 public void readBinary(DataInput in) throws IOException { 093 fv = new DoubleFV(); 094 fv.readBinary(in); 095 } 096 097 @Override 098 public byte[] binaryHeader() { 099 return getClass().getName().getBytes(); 100 } 101 102 @Override 103 public void writeBinary(DataOutput out) throws IOException { 104 fv.writeBinary(out); 105 } 106 107 @Override 108 public DoubleFV getFeatureVector() { 109 return fv; 110 } 111}