mirror of
https://github.com/opencv/opencv.git
synced 2024-12-13 16:09:23 +08:00
4cf9990d4e
Conflicts: doc/tutorials/definitions/noContent.rst doc/tutorials/gpu/gpu-basics-similarity/gpu-basics-similarity.rst doc/tutorials/introduction/android_binary_package/dev_with_OCV_on_Android.rst doc/tutorials/introduction/how_to_write_a_tutorial/how_to_write_a_tutorial.rst modules/core/include/opencv2/core/core.hpp modules/core/include/opencv2/core/internal.hpp modules/core/include/opencv2/core/version.hpp modules/gpu/CMakeLists.txt modules/highgui/perf/perf_output.cpp modules/highgui/test/test_video_io.cpp modules/ocl/include/opencv2/ocl/ocl.hpp modules/ocl/perf/main.cpp modules/ocl/src/hog.cpp modules/ocl/src/initialization.cpp modules/ocl/src/moments.cpp modules/ocl/src/opencl/moments.cl modules/ocl/test/main.cpp modules/ocl/test/test_moments.cpp modules/python/test/test.py modules/ts/include/opencv2/ts/ts_perf.hpp modules/ts/src/precomp.hpp modules/ts/src/ts_perf.cpp
129 lines
5.0 KiB
C++
129 lines
5.0 KiB
C++
// demo.cpp
|
|
//
|
|
// Here is an example on how to use the descriptor presented in the following paper:
|
|
// A. Alahi, R. Ortiz, and P. Vandergheynst. FREAK: Fast Retina Keypoint. In IEEE Conference on Computer Vision and Pattern Recognition, 2012.
|
|
// CVPR 2012 Open Source Award winner
|
|
//
|
|
// Copyright (C) 2011-2012 Signal processing laboratory 2, EPFL,
|
|
// Kirell Benzi (kirell.benzi@epfl.ch),
|
|
// Raphael Ortiz (raphael.ortiz@a3.epfl.ch),
|
|
// Alexandre Alahi (alexandre.alahi@epfl.ch)
|
|
// and Pierre Vandergheynst (pierre.vandergheynst@epfl.ch)
|
|
//
|
|
// 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.
|
|
|
|
#include <iostream>
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
#include <opencv2/core.hpp>
|
|
#include "opencv2/core/utility.hpp"
|
|
#include <opencv2/highgui.hpp>
|
|
#include <opencv2/features2d.hpp>
|
|
#include <opencv2/nonfree.hpp>
|
|
|
|
using namespace cv;
|
|
|
|
static void help( char** argv )
|
|
{
|
|
std::cout << "\nUsage: " << argv[0] << " [path/to/image1] [path/to/image2] \n"
|
|
<< "This is an example on how to use the keypoint descriptor presented in the following paper: \n"
|
|
<< "A. Alahi, R. Ortiz, and P. Vandergheynst. FREAK: Fast Retina Keypoint. \n"
|
|
<< "In IEEE Conference on Computer Vision and Pattern Recognition, 2012. CVPR 2012 Open Source Award winner \n"
|
|
<< std::endl;
|
|
}
|
|
|
|
int main( int argc, char** argv ) {
|
|
// check http://docs.opencv.org/doc/tutorials/features2d/table_of_content_features2d/table_of_content_features2d.html
|
|
// for OpenCV general detection/matching framework details
|
|
|
|
if( argc != 3 ) {
|
|
help(argv);
|
|
return -1;
|
|
}
|
|
|
|
// Load images
|
|
Mat imgA = imread(argv[1], IMREAD_GRAYSCALE );
|
|
if( !imgA.data ) {
|
|
std::cout<< " --(!) Error reading image " << argv[1] << std::endl;
|
|
return -1;
|
|
}
|
|
|
|
Mat imgB = imread(argv[2], IMREAD_GRAYSCALE );
|
|
if( !imgB.data ) {
|
|
std::cout << " --(!) Error reading image " << argv[2] << std::endl;
|
|
return -1;
|
|
}
|
|
|
|
std::vector<KeyPoint> keypointsA, keypointsB;
|
|
Mat descriptorsA, descriptorsB;
|
|
std::vector<DMatch> matches;
|
|
|
|
// DETECTION
|
|
// Any openCV detector such as
|
|
SurfFeatureDetector detector(2000,4);
|
|
|
|
// DESCRIPTOR
|
|
// Our proposed FREAK descriptor
|
|
// (roation invariance, scale invariance, pattern radius corresponding to SMALLEST_KP_SIZE,
|
|
// number of octaves, optional vector containing the selected pairs)
|
|
// FREAK extractor(true, true, 22, 4, std::vector<int>());
|
|
FREAK extractor;
|
|
|
|
// MATCHER
|
|
// The standard Hamming distance can be used such as
|
|
// BFMatcher matcher(NORM_HAMMING);
|
|
// or the proposed cascade of hamming distance using SSSE3
|
|
BFMatcher matcher(NORM_HAMMING);
|
|
|
|
// detect
|
|
double t = (double)getTickCount();
|
|
detector.detect( imgA, keypointsA );
|
|
detector.detect( imgB, keypointsB );
|
|
t = ((double)getTickCount() - t)/getTickFrequency();
|
|
std::cout << "detection time [s]: " << t/1.0 << std::endl;
|
|
|
|
// extract
|
|
t = (double)getTickCount();
|
|
extractor.compute( imgA, keypointsA, descriptorsA );
|
|
extractor.compute( imgB, keypointsB, descriptorsB );
|
|
t = ((double)getTickCount() - t)/getTickFrequency();
|
|
std::cout << "extraction time [s]: " << t << std::endl;
|
|
|
|
// match
|
|
t = (double)getTickCount();
|
|
matcher.match(descriptorsA, descriptorsB, matches);
|
|
t = ((double)getTickCount() - t)/getTickFrequency();
|
|
std::cout << "matching time [s]: " << t << std::endl;
|
|
|
|
// Draw matches
|
|
Mat imgMatch;
|
|
drawMatches(imgA, keypointsA, imgB, keypointsB, matches, imgMatch);
|
|
|
|
namedWindow("matches", WINDOW_KEEPRATIO);
|
|
imshow("matches", imgMatch);
|
|
waitKey(0);
|
|
}
|