Compute the pose from different visual features.
#include <iostream>
#include <vector>
#include <visp3/core/vpCameraParameters.h>
#include <visp3/core/vpConfig.h>
#include <visp3/core/vpHomogeneousMatrix.h>
#include <visp3/core/vpImage.h>
#include <visp3/core/vpPoint.h>
#include <visp3/vision/vpPose.h>
#include <visp3/vision/vpPoseFeatures.h>
#ifdef ENABLE_VISP_NAMESPACE
#endif
#if defined(VISP_HAVE_MODULE_VISUAL_FEATURES) && (VISP_CXX_STANDARD >= VISP_CXX_STANDARD_11)
#ifndef DOXYGEN_SHOULD_SKIP_THIS
class vp_createPointClass
{
public:
int value;
vp_createPointClass() : value(0) { }
{
value += 1;
return value;
}
};
#endif
int test_pose(bool use_robust)
{
if (use_robust)
std::cout << "** Test robust pose estimation from features\n" << std::endl;
else
std::cout << "** Test pose estimation from features\n" << std::endl;
std::cout << "Reference pose used to create the visual features : " << std::endl;
std::cout << pose_ref.
t() << std::endl;
vpPoseFeatures pose;
std::vector<vpPoint> pts;
double val = 0.25;
double val2 = 0.0;
pts.push_back(
vpPoint(0.0, -val, val2));
pts.push_back(
vpPoint(0.0, val, val2));
pts.push_back(
vpPoint(-val, val, val2));
pts.push_back(
vpPoint(-val, -val / 2.0, val2));
pts.push_back(
vpPoint(val, val / 2.0, val2));
pts.push_back(
vpPoint(0.0, 0.0, -1.5));
pts[0].project(cMo_ref);
pts[1].project(cMo_ref);
pts[2].project(cMo_ref);
pts[3].project(cMo_ref);
pts[4].project(cMo_ref);
pts[5].project(cMo_ref);
pose.addFeaturePoint(pts[0]);
pose.addFeaturePoint(pts[2]);
pose.addFeaturePoint3D(pts[5]);
pose.addFeatureVanishingPoint(l1, l2);
pose.addFeatureEllipse(circle);
vp_createPointClass cpClass;
int (vp_createPointClass::*ptrClass)(
vpFeaturePoint &,
const vpPoint &) = &vp_createPointClass::vp_createPoint;
pose.addSpecificFeature(&cpClass, ptrClass, fp, pts[1]);
pose.addSpecificFeature(&vp_createLine, fl, line);
pose.addSpecificFeature(ptr, fs, pts[3], pts[4]);
pose.setVerbose(true);
pose.setLambda(0.6);
pose.setVVSIterMax(200);
pose.setCovarianceComputation(true);
std::cout << "\nPose used as initialisation of the pose computation : " << std::endl;
std::cout << pose_est.
t() << std::endl;
if (!use_robust)
pose.computePose(cMo_est);
else
pose.computePose(cMo_est, vpPoseFeatures::ROBUST_VIRTUAL_VS);
if (!use_robust)
std::cout << "\nEstimated pose from visual features : " << std::endl;
else
std::cout << "\nRobust estimated pose from visual features : " << std::endl;
std::cout << pose_est.
t() << std::endl;
std::cout << "\nResulting covariance (Diag): " << std::endl;
vpMatrix covariance = pose.getCovarianceMatrix();
std::cout << covariance[0][0] << " " << covariance[1][1] << " " << covariance[2][2] << " " << covariance[3][3] << " "
<< covariance[4][4] << " " << covariance[5][5] << " " << std::endl;
int test_fail = 0;
for (unsigned int i = 0; i < 6; i++) {
if (std::fabs(pose_ref[i] - pose_est[i]) > 0.001)
test_fail = 1;
}
std::cout << "\nPose is " << (test_fail ? "badly" : "well") << " estimated\n" << std::endl;
return test_fail;
}
#endif
int main()
{
#if defined(VISP_HAVE_MODULE_VISUAL_FEATURES) && (VISP_CXX_STANDARD >= VISP_CXX_STANDARD_11) \
&& (defined(VISP_HAVE_LAPACK) || defined(VISP_HAVE_EIGEN3) || defined(VISP_HAVE_OPENCV))
try {
if (test_pose(false))
return EXIT_FAILURE;
if (test_pose(true))
return EXIT_FAILURE;
return EXIT_SUCCESS;
}
return EXIT_FAILURE;
}
#else
std::cout << "Cannot run this example: install Lapack, Eigen3 or OpenCV and enable c++11 min standard " << std::endl;
return EXIT_SUCCESS;
#endif
}
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