com.jsaragih.Patch Maven / Gradle / Ivy

Go to download
Show more of this group Show more artifacts with this name
Show all versions of FaceTracker Show documentation
Port of Jason Mora Saragih's FaceTracker to Java using OpenIMAJ. FaceTracker is an implementation of a facial model tracker using a Constrained Local Model.
There is a newer version: 1.3.6
Show newest version
/**
 * FaceTracker Licence
 * -------------------
 * (Academic, non-commercial, not-for-profit licence)
 *
 * Copyright (c) 2010 Jason Mora Saragih
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 *     * The software is provided under the terms of this licence stricly for
 *       academic, non-commercial, not-for-profit purposes.
 *     * Redistributions of source code must retain the above copyright notice,
 *       this list of conditions (licence) and the following disclaimer.
 *     * Redistributions in binary form must reproduce the above copyright
 *       notice, this list of conditions (licence) and the following disclaimer
 *       in the documentation and/or other materials provided with the
 *       distribution.
 *     * The name of the author may not be used to endorse or promote products
 *       derived from this software without specific prior written permission.
 *     * As this software depends on other libraries, the user must adhere to and
 *       keep in place any licencing terms of those libraries.
 *     * Any publications arising from the use of this software, including but
 *       not limited to academic journal and conference publications, technical
 *       reports and manuals, must cite the following work:
 *
 *       J. M. Saragih, S. Lucey, and J. F. Cohn. Face Alignment through Subspace
 *       Constrained Mean-Shifts. International Journal of Computer Vision
 *       (ICCV), September, 2009.
 *
 * THIS SOFTWARE IS PROVIDED BY THE AUTHOR "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 HOLDER 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 com.jsaragih;

import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.util.Scanner;

import org.openimaj.image.FImage;
import org.openimaj.image.analysis.algorithm.TemplateMatcher;
import org.openimaj.image.analysis.algorithm.TemplateMatcher.Mode;

/**
 * A patch on a face
 * 
 * @author Jason Mora Saragih
 * @author Jonathon Hare ([email protected])
 */
public class Patch {
	static { Tracker.init(); }
	
	/** Type of patch (0=raw, 1=grad, 2=lbp) */
	public int _t;

	/** scaling */
	public double _a;

	/** bias */
	public double _b;

	/** Gain */
	public FImage _W;

	protected FImage im_ = new FImage(0, 0);
	protected TemplateMatcher matcher;

	FImage Grad(FImage im) {
		FImage grad = new FImage(im.width, im.height);

		for (int y = 1; y < im.height - 1; y++) {
			for (int x = 1; x < im.width - 1; x++) {
				float vx = im.pixels[y][x + 1] - im.pixels[y][x - 1];
				float vy = im.pixels[y + 1][x] - im.pixels[y - 1][x];
				grad.pixels[y][x] = vx * vx + vy * vy;
			}
		}
		return grad;
	}

	final float SGN(float x) {
		return (x < 0) ? 0 : 1;
	}

	FImage LBP(FImage im) {
		FImage lp = new FImage(im.width, im.height);

		// float [] v = new float[9];
		// for(int y = 1; y < im.height-1; y++) {
		// for(int x = 1; x < im.width-1; x++) {
		// v[4] = im.pixels[y][x-1];
		// v[0] = im.pixels[y][x];
		// v[5] = im.pixels[y][x+1];
		// v[1] = im.pixels[y-1][x-1];
		// v[2] = im.pixels[y-1][x];
		// v[3] = im.pixels[y-1][x+1];
		// v[6] = im.pixels[y+1][x-1];
		// v[7] = im.pixels[y+1][x];
		// v[8] = im.pixels[y+1][x+1];
		//
		// lp.pixels[y][x] =
		// SGN(v[0]-v[1])*2 + SGN(v[0]-v[2])*4 +
		// SGN(v[0]-v[3])*8 + SGN(v[0]-v[4])*16 +
		// SGN(v[0]-v[5])*32 + SGN(v[0]-v[6])*64 +
		// SGN(v[0]-v[7])*128 + SGN(v[0]-v[8])*256 ;
		// }
		// }

		return lp;
	}

	void load(final String fname) throws FileNotFoundException {
		BufferedReader br = null;
		try {
			br = new BufferedReader(new FileReader(fname));
			Scanner sc = new Scanner(br);
			read(sc, true);
		} finally {
			try {
				br.close();
			} catch (IOException e) {
			}
		}
	}

	void save(final String fname) throws IOException {
		BufferedWriter bw = null;
		try {
			bw = new BufferedWriter(new FileWriter(fname));

			write(bw);
		} finally {
			try {
				if (bw != null)
					bw.close();
			} catch (IOException e) {
			}
		}
	}

	void write(BufferedWriter s) throws IOException {
		s.write(IO.Types.PATCH.ordinal() + " " + _t + " " + _a + " " + _b + " ");
		IO.writeImg(s, _W);
	}

	static Patch read(Scanner s, boolean readType) {
		if (readType) {
			int type = s.nextInt();
			assert (type == IO.Types.PATCH.ordinal());
		}

		Patch p = new Patch(); // s.nextInt(), s.nextDouble(), s.nextDouble(),
								// IO.ReadImg(s) );
		p._t = s.nextInt();
		p._a = s.nextDouble();
		p._b = s.nextDouble();
		p._W = IO.readImg(s);
		p.matcher = new TemplateMatcher(p._W.clone(),
				Mode.NORM_CORRELATION_COEFFICIENT);

		return p;
	}

	Patch() {
	}

	/**
	 * @param t
	 * @param a
	 * @param b
	 * @param W
	 */
	public Patch(int t, double a, double b, FImage W) {
		_t = t;
		_a = a;
		_b = b;
		_W = W;
		matcher = new TemplateMatcher(W.clone(),
				Mode.NORM_CORRELATION_COEFFICIENT);
	}

	void response(FImage im, FImage resp) {
		assert ((im.height >= _W.height) && (im.width >= _W.width));

		int h = im.height - _W.height + 1;
		int w = im.width - _W.width + 1;

		if (resp.height != h || resp.width != w)
			resp.internalAssign(new FImage(w, h));

		FImage I;
		if (_t == 0) {
			I = im;
		} else {
			if (im_.height == im.height && im_.width == im.width) {
				I = im_;
			} else if (im_.height >= im.height && im_.width >= im.width) {
				I = im_.extractROI(0, 0, im.width, im.height);
			} else {
				im_ = new FImage(im.width, im.height);
				I = im_;
			}

			if (_t == 1) {
				I = Grad(im);
			} else if (_t == 2) {
				I = LBP(im);
			} else {
				throw new RuntimeException("ERROR: Unsupported patch type!\n");
			}
		}

		matcher.analyseImage(I);
		FImage res = matcher.getResponseMap();

		for (int y = 0; y < resp.height; y++)
			for (int x = 0; x < resp.width; x++)
				resp.pixels[y][x] = (float) (1.0 / (1.0 + Math
						.exp(res.pixels[y][x] * _a + _b)));
	}

	/**
	 * Returns a copy of this patch
	 * 
	 * @return a copy of this patch.
	 */
	public Patch copy() {
		return new Patch(_t, _a, _b, _W);
	}
}