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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2014, Biagio Montesano, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's 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.
//
// * The name of the copyright holders may not 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 Intel Corporation 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.
//
//M*/
#include <opencv2/line_descriptor.hpp>
#include "opencv2/core/utility.hpp"
#include <opencv2/imgproc.hpp>
#include <opencv2/features2d.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
#include <vector>
#include <time.h>
using namespace cv;
using namespace cv::line_descriptor;
static const char* keys =
{ "{@image_path1 | | Image path 1 }"
"{@image_path2 | | Image path 2 }" };
static void help()
{
std::cout << "\nThis example shows the functionalities of descriptors matching\n" << "Please, run this sample using a command in the form\n"
<< "./example_line_descriptor_matching <path_to_input_image 1>" << "<path_to_input_image 2>" << std::endl;
}
uchar invertSingleBits( uchar dividend_char, int numBits );
/* invert numBits bits in input char */
uchar invertSingleBits( uchar dividend_char, int numBits )
{
std::vector<int> bin_vector;
long dividend;
long bin_num;
/* convert input char to a long */
dividend = (long) dividend_char;
/*if a 0 has been obtained, just generate a 8-bit long vector of zeros */
if( dividend == 0 )
bin_vector = std::vector<int>( 8, 0 );
/* else, apply classic decimal to binary conversion */
else
{
while ( dividend >= 1 )
{
bin_num = dividend % 2;
dividend /= 2;
bin_vector.push_back( bin_num );
}
}
/* ensure that binary vector always has length 8 */
if( bin_vector.size() < 8 )
{
std::vector<int> zeros( 8 - bin_vector.size(), 0 );
bin_vector.insert( bin_vector.end(), zeros.begin(), zeros.end() );
}
/* invert numBits bits */
for ( int index = 0; index < numBits; index++ )
{
if( bin_vector[index] == 0 )
bin_vector[index] = 1;
else
bin_vector[index] = 0;
}
/* reconvert to decimal */
uchar result = 0;
for ( int i = (int) bin_vector.size() - 1; i >= 0; i-- )
result += (uchar) ( bin_vector[i] * (1 << i) );
return result;
}
int main( int argc, char** argv )
{
/* get parameters from comand line */
CommandLineParser parser( argc, argv, keys );
String image_path1 = parser.get<String>( 0 );
String image_path2 = parser.get<String>( 1 );
if( image_path1.empty() || image_path2.empty() )
{
help();
return -1;
}
/* load image */
cv::Mat imageMat1 = imread( image_path1, 1 );
cv::Mat imageMat2 = imread( image_path2, 1 );
if( imageMat1.data == NULL || imageMat2.data == NULL )
{
std::cout << "Error, images could not be loaded. Please, check their paths" << std::endl;
}
/* create binary masks */
cv::Mat mask1 = Mat::ones( imageMat1.size(), CV_8UC1 );
cv::Mat mask2 = Mat::ones( imageMat2.size(), CV_8UC1 );
/* create a pointer to a BinaryDescriptor object with default parameters */
Ptr<BinaryDescriptor> bd = BinaryDescriptor::createBinaryDescriptor();
/* compute lines */
std::vector<KeyLine> keylines1, keylines2;
bd->detect( imageMat1, keylines1, mask1 );
bd->detect( imageMat2, keylines2, mask2 );
/* compute descriptors */
cv::Mat descr1, descr2;
bd->compute( imageMat1, keylines1, descr1 );
bd->compute( imageMat2, keylines2, descr2 );
/* create a BinaryDescriptorMatcher object */
Ptr<BinaryDescriptorMatcher> bdm = BinaryDescriptorMatcher::createBinaryDescriptorMatcher();
/* make a copy of descr2 mat */
Mat descr2Copy = descr1.clone();
/* randomly change some bits in original descriptors */
srand( (unsigned int) time( NULL ) );
for ( int j = 0; j < descr1.rows; j++ )
{
/* select a random column */
int randCol = rand() % 32;
/* get correspondent data */
uchar u = descr1.at<uchar>( j, randCol );
/* change bits */
for ( int k = 1; k <= 5; k++ )
{
/* copy current row to train matrix */
descr2Copy.push_back( descr1.row( j ) );
/* invert k bits */
uchar uc = invertSingleBits( u, k );
/* update current row in train matrix */
descr2Copy.at<uchar>( descr2Copy.rows - 1, randCol ) = uc;
}
}
/* prepare a structure to host matches */
std::vector<std::vector<DMatch> > matches;
/* require knn match */
bdm->knnMatch( descr1, descr2, matches, 6 );
}
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