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.demos;
031
032import java.io.File;
033import java.io.IOException;
034
035import org.openimaj.image.DisplayUtilities;
036import org.openimaj.image.FImage;
037import org.openimaj.io.IOUtils;
038import org.openimaj.math.geometry.point.Point2dImpl;
039import org.openimaj.math.geometry.shape.Ellipse;
040import org.openimaj.math.geometry.shape.EllipseUtilities;
041import org.openimaj.math.statistics.distribution.MixtureOfGaussians;
042import org.openimaj.math.statistics.distribution.MultivariateGaussian;
043
044import Jama.Matrix;
045
046public class FVFWDSiftPCAAugmentGMM {
047        /**
048         * @param args
049         * @throws IOException
050         */
051        public static void main(String[] args) throws IOException {
052                // final File indir = new
053                // File("/Volumes/Raid/face_databases/lfw-centre-affine-pdsift-pca64/");
054                //
055                // final Matrix samples = FVFWDSiftPCAAugment.sample(indir, 100000);
056                //
057                // final GaussianMixtureModelEM gmmem = new GaussianMixtureModelEM(512,
058                // CovarianceType.Diagonal);
059                // final MixtureOfGaussians mog = gmmem.estimate(samples);
060                //
061                // IOUtils.writeToFile(mog, new
062                // File("/Volumes/Raid/face_databases/lfw-centre-affine-pdsift-pca64-augm-gmm512.bin"));
063                final MixtureOfGaussians mog = IOUtils.readFromFile(new File(
064                                "/Volumes/Raid/face_databases/lfw-centre-affine-pdsift-pca64-augm-gmm512.bin"));
065
066                final int w = 500;
067                final int h = (int) (w * 160.0 / 125.0);
068
069                final FImage img = new FImage(w, h);
070                for (final MultivariateGaussian g : mog.gaussians) {
071                        final double[] mv = g.getMean().getArray()[0];
072                        final double x = mv[mv.length - 2] * w + (w / 2);
073                        final double y = mv[mv.length - 1] * h + (h / 2);
074
075                        final double xc = g.getCovariance(mv.length - 2, mv.length - 2);
076                        final double yc = g.getCovariance(mv.length - 1, mv.length - 1);
077
078                        final Matrix sm = new Matrix(new double[][] { { xc, 0 }, { 0, yc }
079                        });
080
081                        final Ellipse e = EllipseUtilities.ellipseFromCovariance((float) x,
082                                        (float) y, sm, 500f);
083
084                        img.drawPoint(new Point2dImpl(x, y), 1f, 1);
085                        img.drawShape(e, 1f);
086                }
087                DisplayUtilities.display(img);
088        }
089}