Visual Servoing Platform version 3.7.0
Loading...
Searching...
No Matches
tutorial-matching-keypoint-homography.cpp
1
2#include <visp3/core/vpConfig.h>
3#include <visp3/core/vpPixelMeterConversion.h>
4#include <visp3/gui/vpDisplayOpenCV.h>
5#include <visp3/io/vpVideoReader.h>
6#include <visp3/vision/vpHomography.h>
7#include <visp3/vision/vpKeyPoint.h>
8
9int main(int argc, const char **argv)
10{
11#if defined(VISP_HAVE_OPENCV) && defined(HAVE_OPENCV_HIGHGUI) && defined(HAVE_OPENCV_IMGPROC) && \
12 (((VISP_HAVE_OPENCV_VERSION < 0x050000) && defined(HAVE_OPENCV_CALIB3D) && defined(HAVE_OPENCV_FEATURES2D)) || \
13 ((VISP_HAVE_OPENCV_VERSION >= 0x050000) && defined(HAVE_OPENCV_3D) && defined(HAVE_OPENCV_FEATURES)))
14
15#ifdef ENABLE_VISP_NAMESPACE
16 using namespace VISP_NAMESPACE_NAME;
17#endif
19 int method = 0;
20
21 if (argc > 1)
22 method = atoi(argv[1]);
23
24 if (method == 0)
25 std::cout << "Uses Ransac to estimate the homography" << std::endl;
26 else
27 std::cout << "Uses a robust scheme to estimate the homography" << std::endl;
29
31
32 vpVideoReader reader;
33 reader.setFileName("video-postcard.mp4");
34 reader.acquire(I);
35
36 const std::string detectorName = "ORB";
37 const std::string extractorName = "ORB";
38 // Hamming distance must be used with ORB
39 const std::string matcherName = "BruteForce-Hamming";
41 vpKeyPoint keypoint(detectorName, extractorName, matcherName, filterType);
42 keypoint.buildReference(I);
43
45 Idisp.resize(I.getHeight(), 2 * I.getWidth());
46 Idisp.insert(I, vpImagePoint(0, 0));
47 Idisp.insert(I, vpImagePoint(0, I.getWidth()));
48
49 vpDisplayOpenCV d(Idisp, 0, 0, "Homography from matched keypoints");
50 vpDisplay::display(Idisp);
51 vpDisplay::flush(Idisp);
52
54 vpImagePoint corner_ref[4];
55 corner_ref[0].set_ij(115, 64);
56 corner_ref[1].set_ij(83, 253);
57 corner_ref[2].set_ij(282, 307);
58 corner_ref[3].set_ij(330, 72);
61 for (unsigned int i = 0; i < 4; i++) {
62 vpDisplay::displayCross(Idisp, corner_ref[i], 12, vpColor::red);
63 }
64 vpDisplay::flush(Idisp);
66
68 vpCameraParameters cam(840, 840, I.getWidth() / 2, I.getHeight() / 2);
70
71 vpHomography curHref;
72
73 while (!reader.end()) {
74 reader.acquire(I);
75 Idisp.insert(I, vpImagePoint(0, I.getWidth()));
76 vpDisplay::display(Idisp);
77 vpDisplay::displayLine(Idisp, vpImagePoint(0, I.getWidth()), vpImagePoint(I.getHeight(), I.getWidth()),
79
81 unsigned int nbMatch = keypoint.matchPoint(I);
82 std::cout << "Nb matches: " << nbMatch << std::endl;
84
85 std::vector<vpImagePoint> iPref(nbMatch), iPcur(nbMatch); // Coordinates in pixels (for display only)
87 std::vector<double> mPref_x(nbMatch), mPref_y(nbMatch);
88 std::vector<double> mPcur_x(nbMatch), mPcur_y(nbMatch);
89 std::vector<bool> inliers(nbMatch);
91
92 for (unsigned int i = 0; i < nbMatch; i++) {
93 keypoint.getMatchedPoints(i, iPref[i], iPcur[i]);
95 vpPixelMeterConversion::convertPoint(cam, iPref[i], mPref_x[i], mPref_y[i]);
96 vpPixelMeterConversion::convertPoint(cam, iPcur[i], mPcur_x[i], mPcur_y[i]);
98 }
99
101 try {
102 double residual;
103 if (method == 0) {
104 vpHomography::ransac(mPref_x, mPref_y, mPcur_x, mPcur_y, curHref, inliers, residual,
105 static_cast<unsigned int>(mPref_x.size() * 0.25), 2.0 / cam.get_px(), true);
106 }
107 else {
108 vpHomography::robust(mPref_x, mPref_y, mPcur_x, mPcur_y, curHref, inliers, residual, 0.4, 4, true);
109 }
110 }
111 catch (...) {
112 std::cout << "Cannot compute homography from matches..." << std::endl;
113 }
114
116
118 vpImagePoint corner_cur[4];
119 for (int i = 0; i < 4; i++) {
120 corner_cur[i] = vpHomography::project(cam, curHref, corner_ref[i]);
121 }
123
125 vpImagePoint offset(0, I.getWidth());
126 for (int i = 0; i < 4; i++) {
127 vpDisplay::displayLine(Idisp, corner_cur[i] + offset, corner_cur[(i + 1) % 4] + offset, vpColor::blue, 3);
128 }
130
132 for (unsigned int i = 0; i < nbMatch; i++) {
133 if (inliers[i] == true)
134 vpDisplay::displayLine(Idisp, iPref[i], iPcur[i] + offset, vpColor::green);
135 else
136 vpDisplay::displayLine(Idisp, iPref[i], iPcur[i] + offset, vpColor::red);
137 }
139
140 vpDisplay::flush(Idisp);
141
142 if (vpDisplay::getClick(Idisp, false))
143 break;
144 }
145
146 vpDisplay::getClick(Idisp);
147#else
148 (void)argc;
149 (void)argv;
150#endif
151 return EXIT_SUCCESS;
152}
Generic class defining intrinsic camera parameters.
static const vpColor white
Definition vpColor.h:193
static const vpColor red
Definition vpColor.h:198
static const vpColor blue
Definition vpColor.h:204
static const vpColor green
Definition vpColor.h:201
The vpDisplayOpenCV allows to display image using the OpenCV library. Thus to enable this class OpenC...
static bool getClick(const vpImage< unsigned char > &I, bool blocking=true)
static void display(const vpImage< unsigned char > &I)
static void displayLine(const vpImage< unsigned char > &I, const vpImagePoint &ip1, const vpImagePoint &ip2, const vpColor &color, unsigned int thickness=1, bool segment=true)
static void displayCross(const vpImage< unsigned char > &I, const vpImagePoint &ip, unsigned int size, const vpColor &color, unsigned int thickness=1)
static void flush(const vpImage< unsigned char > &I)
Implementation of an homography and operations on homographies.
static vpImagePoint project(const vpCameraParameters &cam, const vpHomography &bHa, const vpImagePoint &iPa)
static void robust(const std::vector< double > &xb, const std::vector< double > &yb, const std::vector< double > &xa, const std::vector< double > &ya, vpHomography &aHb, std::vector< bool > &inliers, double &residual, double weights_threshold=0.4, unsigned int niter=4, bool normalization=true)
static bool ransac(const std::vector< double > &xb, const std::vector< double > &yb, const std::vector< double > &xa, const std::vector< double > &ya, vpHomography &aHb, std::vector< bool > &inliers, double &residual, unsigned int nbInliersConsensus, double threshold, bool normalization=true)
Class that defines a 2D point in an image. This class is useful for image processing and stores only ...
void set_ij(double ii, double jj)
Definition of the vpImage class member functions.
Definition vpImage.h:131
Class that allows keypoints 2D features detection (and descriptors extraction) and matching thanks to...
Definition vpKeyPoint.h:274
@ ratioDistanceThreshold
Definition vpKeyPoint.h:283
static void convertPoint(const vpCameraParameters &cam, const double &u, const double &v, double &x, double &y)
Class that enables to manipulate easily a video file or a sequence of images. As it inherits from the...
void setFileName(const std::string &filename)
void acquire(vpImage< vpRGBa > &I) VP_OVERRIDE