Visual Servoing Platform  version 3.4.0
testPoseRansac.cpp
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30  *
31  * Description:
32  * Compute the pose of a 3D object using the Dementhon method. Assuming that
33  * the correspondance between 2D points and 3D points is not done, we use
34  * the RANSAC algorithm to achieve this task
35  *
36  * Authors:
37  * Aurelien Yol
38  *
39  *****************************************************************************/
40 
41 #include <visp3/core/vpHomogeneousMatrix.h>
42 #include <visp3/core/vpMath.h>
43 #include <visp3/core/vpPoint.h>
44 #include <visp3/vision/vpPose.h>
45 
46 #include <stdio.h>
47 #include <stdlib.h>
48 
49 #define L 0.1
50 
58 int main()
59 {
60 #if (defined(VISP_HAVE_LAPACK) || defined(VISP_HAVE_EIGEN3) || defined(VISP_HAVE_OPENCV))
61  try {
62  std::cout << "Pose computation with matched points" << std::endl;
63  std::vector<vpPoint> P; // Point to be tracked
64 
65  P.push_back(vpPoint(-L, -L, 0));
66  P.push_back(vpPoint(L, -L, 0));
67  P.push_back(vpPoint(L, L, 0));
68  P.push_back(vpPoint(-L, L, 0));
69 
70  double L2 = L * 3.0;
71  P.push_back(vpPoint(0, -L2, 0));
72  P.push_back(vpPoint(L2, 0, 0));
73  P.push_back(vpPoint(0, L2, 0));
74  P.push_back(vpPoint(-L2, 0, 0));
75 
76  vpHomogeneousMatrix cMo_ref(0, 0.2, 1, 0, 0, 0);
77  for (size_t i = 0; i < P.size(); i++) {
78  P[i].project(cMo_ref);
79  P[i].print();
80  std::cout << std::endl;
81  }
82 
83  // Introduce an error
84  double error = 0.01;
85  P[3].set_y(P[3].get_y() + 2 * error);
86  P[6].set_x(P[6].get_x() + error);
87 
88  vpPose pose;
89  for (size_t i = 0; i < P.size(); i++)
90  pose.addPoint(P[i]);
91 
92  unsigned int nbInlierToReachConsensus = (unsigned int)(75.0 * (double)(P.size()) / 100.0);
93  double threshold = 0.001;
94 
95  pose.setRansacNbInliersToReachConsensus(nbInlierToReachConsensus);
96  pose.setRansacThreshold(threshold);
97 
99  // vpPose::ransac(lp,lP, 5, 1e-6, ninliers, lPi, cMo) ;
100  pose.computePose(vpPose::RANSAC, cMo);
101 
102  std::vector<vpPoint> inliers = pose.getRansacInliers();
103 
104  std::cout << "Inliers: " << std::endl;
105  for (unsigned int i = 0; i < inliers.size(); i++) {
106  inliers[i].print();
107  std::cout << std::endl;
108  }
109 
110  vpPoseVector pose_ref = vpPoseVector(cMo_ref);
111  vpPoseVector pose_est = vpPoseVector(cMo);
112 
113  std::cout << std::endl;
114  std::cout << "reference cMo :\n" << pose_ref.t() << std::endl << std::endl;
115  std::cout << "estimated cMo :\n" << pose_est.t() << std::endl << std::endl;
116 
117  int test_fail = 0;
118  for (unsigned int i = 0; i < 6; i++) {
119  if (std::fabs(pose_ref[i] - pose_est[i]) > 0.001)
120  test_fail = 1;
121  }
122 
123  std::cout << "Pose is " << (test_fail ? "badly" : "well") << " estimated" << std::endl;
124  return (test_fail ? EXIT_FAILURE : EXIT_SUCCESS);
125  } catch (const vpException &e) {
126  std::cout << "Catch an exception: " << e << std::endl;
127  return EXIT_FAILURE;
128  }
129 #else
130  std::cout << "Cannot run this example: install Lapack, Eigen3 or OpenCV" << std::endl;
131  return EXIT_SUCCESS;
132 #endif
133 }
bool computePose(vpPoseMethodType method, vpHomogeneousMatrix &cMo, bool(*func)(const vpHomogeneousMatrix &)=NULL)
Definition: vpPose.cpp:374
Implementation of an homogeneous matrix and operations on such kind of matrices.
error that can be emited by ViSP classes.
Definition: vpException.h:71
void setRansacThreshold(const double &t)
Definition: vpPose.h:238
Class that defines a 3D point in the object frame and allows forward projection of a 3D point in the ...
Definition: vpPoint.h:81
Class used for pose computation from N points (pose from point only). Some of the algorithms implemen...
Definition: vpPose.h:80
void setRansacNbInliersToReachConsensus(const unsigned int &nbC)
Definition: vpPose.h:237
Implementation of a pose vector and operations on poses.
Definition: vpPoseVector.h:151
void addPoint(const vpPoint &P)
Definition: vpPose.cpp:149
std::vector< vpPoint > getRansacInliers() const
Definition: vpPose.h:250
vpRowVector t() const