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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.util;
import org.openimaj.image.MBFImage;
import org.openimaj.image.colour.RGBColour;
import org.openimaj.image.processing.face.detection.CLMDetectedFace;
import org.openimaj.image.processing.face.tracking.clm.MultiTracker;
import org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace;
import org.openimaj.math.geometry.point.Point2dImpl;
import org.openimaj.math.geometry.shape.Rectangle;
import org.openimaj.math.geometry.shape.Triangle;
import Jama.Matrix;
import com.jsaragih.IO;
import com.jsaragih.Tracker;
/**
* Renderer for drawing {@link CLMDetectedFace}s
*
* @author Sina Samangooei ([email protected])
*
*/
public class CLMDetectedFaceRenderer implements DetectedFaceRenderer {
private int[][] triangles;
private boolean drawTriangles = true;
private boolean drawConnections = true;
private boolean drawPoints = true;
private boolean drawBounds = true;
private int[][] connections;
private float scale = 1f;
private Float[] boundingBoxColour = RGBColour.RED;
private Float[] pointColour = RGBColour.BLUE;
private Float[] meshColour = RGBColour.GREEN;
private Float[] connectionColour = RGBColour.YELLOW;
private int thickness;
/**
* Loads the triangles and connections used to render
*/
public CLMDetectedFaceRenderer() {
this.triangles = IO.loadTri(Tracker.class.getResourceAsStream("face.tri"));
connections = IO.loadCon(Tracker.class.getResourceAsStream("face.con"));
}
@Override
public void drawDetectedFace(MBFImage image, int thickness, CLMDetectedFace f) {
this.thickness = thickness;
drawFaceModel(image, f.getShapeMatrix(), f.getVisibility(), f.getBounds());
}
/**
* Helper function, does the same as
* {@link #drawDetectedFace(MBFImage,int, CLMDetectedFace)} but with the
* insides of a {@link TrackedFace}.
*
* @param image
* @param f
*/
public void drawDetectedFace(MBFImage image, MultiTracker.TrackedFace f) {
drawFaceModel(image, f.shape, f.clm._visi[f.clm.getViewIdx()], f.lastMatchBounds);
}
private void drawFaceModel(MBFImage image, Matrix shape, Matrix visi, Rectangle bounds)
{
final int n = shape.getRowDimension() / 2;
if (drawBounds && bounds != null)
image.createRenderer().drawShape(bounds,
boundingBoxColour);
if (drawTriangles) {
// Draw triangulation
for (int i = 0; i < triangles.length; i++) {
if (visi.get(triangles[i][0], 0) == 0 ||
visi.get(triangles[i][1], 0) == 0 ||
visi.get(triangles[i][2], 0) == 0)
continue;
final Triangle t = new Triangle(
new Point2dImpl(
(float) (shape.get(triangles[i][0], 0) + bounds.x) / scale,
(float) (shape.get(triangles[i][0] + n, 0) + bounds.y) / scale),
new Point2dImpl(
(float) (shape.get(triangles[i][1], 0) + bounds.x) / scale,
(float) (shape.get(triangles[i][1] + n, 0) + bounds.y) / scale),
new Point2dImpl(
(float) (shape.get(triangles[i][2], 0) + bounds.x) / scale,
(float) (shape.get(triangles[i][2] + n, 0) + bounds.y) / scale)
);
image.drawShape(t, thickness, meshColour);
}
}
if (drawConnections) {
// draw connections
for (int i = 0; i < connections[0].length; i++) {
if (visi.get(connections[0][i], 0) == 0
|| visi.get(connections[1][i], 0) == 0)
continue;
image.drawLine(
new Point2dImpl(
(float) (shape.get(connections[0][i], 0) + bounds.x) / scale,
(float) (shape.get(connections[0][i] + n, 0) + bounds.y) / scale),
new Point2dImpl(
(float) (shape.get(connections[1][i], 0) + bounds.x) / scale,
(float) (shape.get(connections[1][i] + n, 0) + bounds.y) / scale),
thickness, connectionColour);
}
}
if (drawPoints) {
// draw points
for (int i = 0; i < n; i++) {
if (visi.get(i, 0) == 0)
continue;
image.drawPoint(
new Point2dImpl(
((float) shape.get(i, 0) + bounds.x) / scale,
((float) shape.get(i + n, 0) + bounds.y) / scale),
pointColour, thickness);
}
}
}
/**
* Static helper function for quick and dirty rendering
*
* @param mbf
* image to draw on to
* @param thickness
* line thickness
* @param face
* face to draw
*/
public static void render(MBFImage mbf, int thickness, CLMDetectedFace face) {
final CLMDetectedFaceRenderer render = new CLMDetectedFaceRenderer();
render.drawDetectedFace(mbf, thickness, face);
}
}