eyes.cpp
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/*
# PyVision License
#
# Copyright (c) 2006-2008 David S. Bolme
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# 2. 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.
#
# 3. Neither name of copyright holders 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 REGENTS 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.
*/
#include <opencv2/imgproc/imgproc.hpp>
#include <openbr_plugin.h>
#include "core/opencvutils.h"
using namespace cv;
namespace br
{
/*!
* \ingroup transforms
* \brief Bolme, D.S.; Draper, B.A.; Beveridge, J.R.;
* "Average of Synthetic Exact Filters,"
* Computer Vision and Pattern Recognition, 2009. CVPR 2009.
* IEEE Conference on , vol., no., pp.2105-2112, 20-25 June 2009
* \author David Bolme
* \author Josh Klontz \cite jklontz
*/
class ASEFEyesTransform : public UntrainableTransform
{
Q_OBJECT
Mat left_filter_dft, right_filter_dft, lut;
Rect left_rect, right_rect;
int width, height;
public:
ASEFEyesTransform()
{
QFile file;
QByteArray line, lf, rf, magic_number;
QList<QByteArray> words;
int r, c;
Scalar t1, t2;
// Open the eye locator model
file.setFileName(Globals->sdkPath + "/share/openbr/models/EyeLocatorASEF128x128.fel");
if (!file.open(QFile::ReadOnly)) qFatal("Failed to open %s for reading.", qPrintable(file.fileName()));
// Check the first line
if (file.readLine().simplified() != "CFEL") qFatal("Invalid header.");
// Read past the comment and copyright.
file.readLine();
file.readLine();
// Get the width and the height
words = file.readLine().simplified().split(' ');
r = words[0].toInt();
c = words[1].toInt();
// Read in the left bounding rectangle
words = file.readLine().simplified().split(' ');
left_rect = Rect(words[0].toInt(), words[1].toInt(), words[2].toInt(), words[3].toInt());
// Read in the right bounding rectangle
words = file.readLine().simplified().split(' ');
right_rect = Rect(words[0].toInt(), words[1].toInt(), words[2].toInt(), words[3].toInt());
// Read the magic number
magic_number = file.readLine().simplified();
// Read in the filter data
lf = file.read(4*r*c);
rf = file.read(4*r*c);
file.close();
// Test the magic number and byteswap if necessary.
if (magic_number == "ABCD") {
// Do nothing
} else if (magic_number == "DCBA") {
// Reverse the endianness
// No swapping needed, not sure why
} else {
qFatal("Invalid Magic Number");
}
// Create the left and right filters
Mat left_mat = Mat(r, c, CV_32F, lf.data());
Mat right_mat = Mat(r, c, CV_32F, rf.data());
Mat left_filter;
meanStdDev(left_mat, t1, t2);
left_mat.convertTo(left_filter, -1, 1.0/t2[0], -t1[0]*1.0/t2[0]);
Mat right_filter;
meanStdDev(right_mat, t1, t2);
right_mat.convertTo(right_filter, -1, 1.0/t2[0], -t1[0]*1.0/t2[0]);
// Check the input to this function
height = left_filter.rows;
width = left_filter.cols;
assert((left_filter.rows == right_filter.rows) &&
(left_filter.cols == right_filter.cols) &&
(left_filter.channels() == 1) &&
(right_filter.channels() == 1));
// Create the arrays needed for the computation
left_filter_dft = Mat(r, c, CV_32F);
right_filter_dft = Mat(r, c, CV_32F);
// Compute the filters in the Fourier domain
dft(left_filter, left_filter_dft, CV_DXT_FORWARD);
dft(right_filter, right_filter_dft, CV_DXT_FORWARD);
// Create the look up table for the log transform
lut = Mat(256, 1, CV_32F);
for (int i=0; i<256; i++) lut.at<float>(i, 0) = std::log((float)i+1);
}
private:
void project(const Template &src, Template &dst) const
{
Rect roi = OpenCVUtils::toRect(src.file.ROIs().first());
Mat gray;
OpenCVUtils::cvtGray(src.m()(roi), gray);
Mat image_tile;
// (r,c) == (128, 128) EyeLocatorASEF128x128.fel
resize(gray, image_tile, Size(height, width));
// _preprocess
Mat image;
LUT(image_tile, lut, image);
// correlate
Mat left_corr, right_corr;
dft(image, image, CV_DXT_FORWARD);
mulSpectrums(image, left_filter_dft, left_corr, 0, true);
mulSpectrums(image, right_filter_dft, right_corr, 0, true);
dft(left_corr, left_corr, CV_DXT_INV_SCALE);
dft(right_corr, right_corr, CV_DXT_INV_SCALE);
// locateEyes
double minVal, maxVal;
Point minLoc, maxLoc;
// left_rect == (23, 35) (32, 32) EyeLocatorASEF128x128.fel
minMaxLoc(left_corr(left_rect), &minVal, &maxVal, &minLoc, &maxLoc);
float first_eye_x = (left_rect.x + maxLoc.x)*gray.cols/width+roi.x;
float first_eye_y = (left_rect.y + maxLoc.y)*gray.rows/height+roi.y;
// right_rect == (71, 32) (32, 32) EyeLocatorASEF128x128.fel
minMaxLoc(right_corr(right_rect), &minVal, &maxVal, &minLoc, &maxLoc);
float second_eye_x = (right_rect.x + maxLoc.x)*gray.cols/width+roi.x;
float second_eye_y = (right_rect.y + maxLoc.y)*gray.rows/height+roi.y;
dst = src;
dst.file.appendLandmark(QPointF(first_eye_x, first_eye_y));
dst.file.appendLandmark(QPointF(second_eye_x, second_eye_y));
dst.file.set("ASEF_Right_Eye_X", first_eye_x);
dst.file.set("ASEF_Right_Eye_Y", first_eye_y);
dst.file.set("ASEF_Left_Eye_X", second_eye_x);
dst.file.set("ASEF_Left_Eye_Y", second_eye_y);
}
};
BR_REGISTER(Transform, ASEFEyesTransform)
} // namespace br
#include "eyes.moc"