22#include "cvb/point_cloud_factory.hpp"
23#include "cvb/calibrator_3d.hpp"
25#include "cvb/foundation/metric_aqs12.hpp"
40 std::cout <<
"Estimation of an affine transformation (correcting an inclined laser plane)\n\n";
43 const auto rangemapFile = Cvb::InstallPath() + CVB_LIT(
"tutorial/Metric/Images/RangeMapCalibrationPattern.tif");
45 std::cout <<
"Rangemap loaded with size of " << rangemap->Width() <<
" x " << rangemap->Height() <<
" from " << rangemapFile <<
".\n";
48 auto aqs12 = GetAqs12();
50 config->SetHomographyCalculated(
false);
53 const auto calibrationFile = Cvb::InstallPath() + CVB_LIT(
"tutorial/Metric/Images/SICalibration.json");
54 auto calibrator = Cvb::Calibrator3D::Load<Cvb::LaserPlaneCalibrator3D>(calibrationFile);
55 calibrator->SetRangeMapIgnoreValue(0.0);
57 std::cout <<
"Dense point cloud created from rangemap and calibration file with " << cloud->NumPoints() <<
" points.\n\n";
64 calibrator->SetCorrectionOfLaserPlaneInclination(transformation, transformationParameters);
67 PrintTrafo(transformation);
68 if (transformationParameters)
69 PrintTrafo(*transformationParameters);
72 double desiredAccuracy = 0.05;
75 PrintResiduals(*residuals);
76 if (!CheckAccuracy(*residuals, desiredAccuracy))
78 std::cout <<
"Results do not have desired accuracy. Check face segmentation and extracted AQS12 points...\n";
79 auto facesAqs12 = segmentor->FaceSegmentationFromPiece(*cloud);
80 auto pointsAqs12 = segmentor->ExtractProjectedPointsFromPiece(*cloud);
81 PrintAqs12Points(pointsAqs12);
87 std::cout <<
"The calibration was successful and accuracy is < " << desiredAccuracy <<
" mm. :)\n";
105 {20.0018, 44.9941, 15.0000},
106 {24.0018, 39.9942, 14.9994},
107 {23.9994, 24.9972, 15.0001},
108 {20.0021, 20.0035, 15.0011},
109 {15.9994, 25.0079, 15.0016},
110 {16.0000, 39.9919, 15.0010},
111 {20.0095, 59.9985, 4.9902},
112 {32.0093, 44.9958, 4.9909},
113 {32.0052, 19.9925, 4.9920},
114 {20.0021, 4.9961, 4.9939},
115 { 8.0024, 19.9980, 5.0009},
116 { 8.0065, 45.0009, 4.9984},
124 for (
auto residual : residuals)
126 if (std::abs(residual.X()) > desiredAccuracy || std::abs(residual.Y()) > desiredAccuracy || std::abs(residual.Z()) > desiredAccuracy)
136 std::cout <<
"Estimated transformation:\n";
138 std::cout << transformation.Translation().X() <<
", " << transformation.Translation().Y() <<
", " << transformation.Translation().Z() <<
"]\n";
140 std::cout <<
"transformation matrix: [\n";
141 std::cout << transformation.Matrix()[0][0] <<
", " << transformation.Matrix()[0][1] <<
", " << transformation.Matrix()[0][2] <<
",\n";
142 std::cout << transformation.Matrix()[1][0] <<
", " << transformation.Matrix()[1][1] <<
", " << transformation.Matrix()[1][2] <<
",\n";
143 std::cout << transformation.Matrix()[2][0] <<
", " << transformation.Matrix()[2][1] <<
", " << transformation.Matrix()[2][2] <<
"]\n\n";
149 std::cout <<
"Shear Syx, Syz: " << transformationParameters.
Syx <<
", " << transformationParameters.
Syz <<
"\n";
150 std::cout <<
"Inclination of laser plane about X,Z axis in [degree]: " << transformationParameters.
InclinationX <<
", " << transformationParameters.
InclinationZ <<
"\n";
151 std::cout <<
"Scale in X,Y,Z: " << transformationParameters.
Scale.
X <<
", " << transformationParameters.
Scale.
Y <<
", " << transformationParameters.
Scale.
Z <<
"\n\n";
157 for (
auto residual : residuals)
159 std::cout << residual.X() <<
" " << residual.Y() <<
" " << residual.Z() <<
"\n";
167 for (
auto point: points)
169 std::cout << point.X() <<
" " << point.Y() <<
" " << point.Z() <<
"\n";
Affine transformation for 3D containing a transformation matrix and a translation vector.
Definition: affine_matrix_3d.hpp:147
Object to collect all input parameters for the AQS12 calibration piece.
Definition: decl_metric_aqs12_calibration_piece.hpp:28
static std::shared_ptr< AQS12DensePointCloudSegmentor > Create(const SegmentationMethod method)
Creates a AQS12 segmentor for dense point clouds based on given segmentation method.
Definition: decl_metric_segmentor_dense_point_cloud_aqs12.hpp:38
static std::unique_ptr< CalibrationConfiguration > Create(const AQS12Piece &aqs12)
Creates a calibration configuration object.
Definition: decl_metric_calibration_configuration.hpp:112
static std::unique_ptr< Image > Load(const String &fileName)
Loads an image with the given file name.
Definition: detail_image.hpp:32
static PointCloudPtr Create(const ImagePlane &rangeMap, const Calibrator3D &calibrator, PointCloudFlags flags)
Creates a new Cartesian 3D point cloud from the given 2.5D range map image.
Definition: point_cloud_factory.hpp:87
TransformationResult CalculateCorrectionOfLaserPlaneInclinationFromAqs12Piece(const DensePointCloud &cloud, const AQS12DensePointCloudSegmentor &segmentor, const CalibrationConfiguration &config)
Calculates an extrinsic calibration and the correction for the laser plane inclination (affine transf...
Definition: metric_aqs12.hpp:146
@ KmeansClustering
Clustering top, base and faces using kmeans.
double Z
The Z factor.
Definition: core_3d.hpp:23
double X
The X factor.
Definition: core_3d.hpp:19
double Y
The Y factor.
Definition: core_3d.hpp:21