Visual Servoing Platform  version 3.3.0 under development (2020-02-17)
vpCalibration.cpp
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30  *
31  * Description:
32  * Camera calibration.
33  *
34  * Authors:
35  * Eric Marchand
36  * Francois Chaumette
37  * Anthony Saunier
38  *
39  *****************************************************************************/
40 
46 #include <visp3/core/vpDebug.h>
47 #include <visp3/core/vpPixelMeterConversion.h>
48 #include <visp3/vision/vpCalibration.h>
49 #include <visp3/vision/vpPose.h>
50 
51 double vpCalibration::threshold = 1e-10f;
52 unsigned int vpCalibration::nbIterMax = 4000;
53 double vpCalibration::gain = 0.25;
58 {
59  npt = 0;
60 
61  residual = residual_dist = 1000.;
62 
63  LoX.clear();
64  LoY.clear();
65  LoZ.clear();
66  Lip.clear();
67 
68  return 0;
69 }
70 
75  : cMo(), cMo_dist(), cam(), cam_dist(), rMe(), eMc(), eMc_dist(), npt(0), LoX(), LoY(), LoZ(), Lip(), residual(1000.),
76  residual_dist(1000.)
77 {
78  init();
79 }
84  : cMo(), cMo_dist(), cam(), cam_dist(), rMe(), eMc(), eMc_dist(), npt(0), LoX(), LoY(), LoZ(), Lip(), residual(1000.),
85  residual_dist(1000.)
86 {
87  (*this) = c;
88 }
89 
94 
101 {
102  npt = twinCalibration.npt;
103  LoX = twinCalibration.LoX;
104  LoY = twinCalibration.LoY;
105  LoZ = twinCalibration.LoZ;
106  Lip = twinCalibration.Lip;
107 
108  residual = twinCalibration.residual;
109  cMo = twinCalibration.cMo;
110  residual_dist = twinCalibration.residual_dist;
111  cMo_dist = twinCalibration.cMo_dist;
112 
113  cam = twinCalibration.cam;
114  cam_dist = twinCalibration.cam_dist;
115 
116  rMe = twinCalibration.rMe;
117 
118  eMc = twinCalibration.eMc;
119  eMc_dist = twinCalibration.eMc_dist;
120 
121  return (*this);
122 }
123 
128 {
129  LoX.clear();
130  LoY.clear();
131  LoZ.clear();
132  Lip.clear();
133  npt = 0;
134 
135  return 0;
136 }
137 
144 int vpCalibration::addPoint(double X, double Y, double Z, vpImagePoint &ip)
145 {
146  LoX.push_back(X);
147  LoY.push_back(Y);
148  LoZ.push_back(Z);
149 
150  Lip.push_back(ip);
151 
152  npt++;
153 
154  return 0;
155 }
156 
162 void vpCalibration::computePose(const vpCameraParameters &camera, vpHomogeneousMatrix &cMo_est)
163 {
164  // The vpPose class mainly contents a list of vpPoint (that is (X,Y,Z, x, y)
165  // )
166  vpPose pose;
167  // the list of point is cleared (if that's not done before)
168  pose.clearPoint();
169  // we set the 3D points coordinates (in meter !) in the object/world frame
170  std::list<double>::const_iterator it_LoX = LoX.begin();
171  std::list<double>::const_iterator it_LoY = LoY.begin();
172  std::list<double>::const_iterator it_LoZ = LoZ.begin();
173  std::list<vpImagePoint>::const_iterator it_Lip = Lip.begin();
174 
175  for (unsigned int i = 0; i < npt; i++) {
176  vpPoint P(*it_LoX, *it_LoY, *it_LoZ);
177  double x = 0, y = 0;
178  vpPixelMeterConversion::convertPoint(camera, *it_Lip, x, y);
179  P.set_x(x);
180  P.set_y(y);
181 
182  pose.addPoint(P);
183  ++it_LoX;
184  ++it_LoY;
185  ++it_LoZ;
186  ++it_Lip;
187  }
188  vpHomogeneousMatrix cMo_dementhon; // computed pose with dementhon
189  vpHomogeneousMatrix cMo_lagrange; // computed pose with dementhon
190 
191  // compute the initial pose using Lagrange method followed by a non linear
192  // minimisation method
193  // Pose by Lagrange it provides an initialization of the pose
194  pose.computePose(vpPose::LAGRANGE, cMo_lagrange);
195  double residual_lagrange = pose.computeResidual(cMo_lagrange);
196 
197  // compute the initial pose using Dementhon method followed by a non linear
198  // minimisation method
199  // Pose by Dementhon it provides an initialization of the pose
200  pose.computePose(vpPose::DEMENTHON, cMo_dementhon);
201  double residual_dementhon = pose.computeResidual(cMo_dementhon);
202 
203  // we keep the better initialization
204  if (residual_lagrange < residual_dementhon)
205  cMo_est = cMo_lagrange;
206  else
207  cMo_est = cMo_dementhon;
208 
209  // the pose is now refined using the virtual visual servoing approach
210  // Warning: cMo needs to be initialized otherwise it may diverge
211  pose.computePose(vpPose::VIRTUAL_VS, cMo_est);
212 }
213 
222 {
223  double residual_ = 0;
224 
225  std::list<double>::const_iterator it_LoX = LoX.begin();
226  std::list<double>::const_iterator it_LoY = LoY.begin();
227  std::list<double>::const_iterator it_LoZ = LoZ.begin();
228  std::list<vpImagePoint>::const_iterator it_Lip = Lip.begin();
229 
230  double u0 = camera.get_u0();
231  double v0 = camera.get_v0();
232  double px = camera.get_px();
233  double py = camera.get_py();
234  vpImagePoint ip;
235 
236  for (unsigned int i = 0; i < npt; i++) {
237  double oX = *it_LoX;
238  double oY = *it_LoY;
239  double oZ = *it_LoZ;
240 
241  double cX = oX * cMo_est[0][0] + oY * cMo_est[0][1] + oZ * cMo_est[0][2] + cMo_est[0][3];
242  double cY = oX * cMo_est[1][0] + oY * cMo_est[1][1] + oZ * cMo_est[1][2] + cMo_est[1][3];
243  double cZ = oX * cMo_est[2][0] + oY * cMo_est[2][1] + oZ * cMo_est[2][2] + cMo_est[2][3];
244 
245  double x = cX / cZ;
246  double y = cY / cZ;
247 
248  ip = *it_Lip;
249  double u = ip.get_u();
250  double v = ip.get_v();
251 
252  double xp = u0 + x * px;
253  double yp = v0 + y * py;
254 
255  residual_ += (vpMath::sqr(xp - u) + vpMath::sqr(yp - v));
256 
257  ++it_LoX;
258  ++it_LoY;
259  ++it_LoZ;
260  ++it_Lip;
261  }
262  this->residual = residual_;
263  return sqrt(residual_ / npt);
264 }
273 {
274  double residual_ = 0;
275 
276  std::list<double>::const_iterator it_LoX = LoX.begin();
277  std::list<double>::const_iterator it_LoY = LoY.begin();
278  std::list<double>::const_iterator it_LoZ = LoZ.begin();
279  std::list<vpImagePoint>::const_iterator it_Lip = Lip.begin();
280 
281  double u0 = camera.get_u0();
282  double v0 = camera.get_v0();
283  double px = camera.get_px();
284  double py = camera.get_py();
285  double kud = camera.get_kud();
286  double kdu = camera.get_kdu();
287 
288  double inv_px = 1 / px;
289  double inv_py = 1 / px;
290  vpImagePoint ip;
291 
292  for (unsigned int i = 0; i < npt; i++) {
293  double oX = *it_LoX;
294  double oY = *it_LoY;
295  double oZ = *it_LoZ;
296 
297  double cX = oX * cMo_est[0][0] + oY * cMo_est[0][1] + oZ * cMo_est[0][2] + cMo_est[0][3];
298  double cY = oX * cMo_est[1][0] + oY * cMo_est[1][1] + oZ * cMo_est[1][2] + cMo_est[1][3];
299  double cZ = oX * cMo_est[2][0] + oY * cMo_est[2][1] + oZ * cMo_est[2][2] + cMo_est[2][3];
300 
301  double x = cX / cZ;
302  double y = cY / cZ;
303 
304  ip = *it_Lip;
305  double u = ip.get_u();
306  double v = ip.get_v();
307 
308  double r2ud = 1 + kud * (vpMath::sqr(x) + vpMath::sqr(y));
309 
310  double xp = u0 + x * px * r2ud;
311  double yp = v0 + y * py * r2ud;
312 
313  residual_ += (vpMath::sqr(xp - u) + vpMath::sqr(yp - v));
314 
315  double r2du = (vpMath::sqr((u - u0) * inv_px) + vpMath::sqr((v - v0) * inv_py));
316 
317  xp = u0 + x * px - kdu * (u - u0) * r2du;
318  yp = v0 + y * py - kdu * (v - v0) * r2du;
319 
320  residual_ += (vpMath::sqr(xp - u) + vpMath::sqr(yp - v));
321  ++it_LoX;
322  ++it_LoY;
323  ++it_LoZ;
324  ++it_Lip;
325  }
326  residual_ /= 2;
327 
328  this->residual_dist = residual_;
329  return sqrt(residual_ / npt);
330 }
331 
339 void vpCalibration::computeStdDeviation(double &deviation, double &deviation_dist)
340 {
341  deviation = computeStdDeviation(cMo, cam);
342  deviation_dist = computeStdDeviation_dist(cMo_dist, cam_dist);
343 }
344 
357  vpCameraParameters &cam_est, bool verbose)
358 {
359  try {
360  computePose(cam_est, cMo_est);
361  switch (method) {
362  case CALIB_LAGRANGE:
364  calibLagrange(cam_est, cMo_est);
365  } break;
366  case CALIB_VIRTUAL_VS:
369  default:
370  break;
371  }
372 
373  switch (method) {
374  case CALIB_VIRTUAL_VS:
378  if (verbose) {
379  std::cout << "start calibration without distortion" << std::endl;
380  }
381  calibVVS(cam_est, cMo_est, verbose);
382  } break;
383  case CALIB_LAGRANGE:
384  default:
385  break;
386  }
387  this->cMo = cMo_est;
388  this->cMo_dist = cMo_est;
389 
390  // Print camera parameters
391  if (verbose) {
392  // std::cout << "Camera parameters without distortion :" <<
393  // std::endl;
394  cam_est.printParameters();
395  }
396 
397  this->cam = cam_est;
398 
399  switch (method) {
402  if (verbose) {
403  std::cout << "start calibration with distortion" << std::endl;
404  }
405  calibVVSWithDistortion(cam_est, cMo_est, verbose);
406  } break;
407  case CALIB_LAGRANGE:
408  case CALIB_VIRTUAL_VS:
410  default:
411  break;
412  }
413  // Print camera parameters
414  if (verbose) {
415  // std::cout << "Camera parameters without distortion :" <<
416  // std::endl;
417  this->cam.printParameters();
418  // std::cout << "Camera parameters with distortion :" <<
419  // std::endl;
420  cam_est.printParameters();
421  }
422 
423  this->cam_dist = cam_est;
424 
425  this->cMo_dist = cMo_est;
426 
427  if (cam_est.get_px() < 0 || cam_est.get_py() < 0 || cam_est.get_u0() < 0 || cam_est.get_v0() < 0) {
428  std::cout << "Unable to calibrate the camera. Estimated parameters are negative." << std::endl;
429  return EXIT_FAILURE;
430  }
431 
432  return EXIT_SUCCESS;
433  } catch (...) {
434  throw;
435  }
436 }
437 
452 int vpCalibration::computeCalibrationMulti(vpCalibrationMethodType method, std::vector<vpCalibration> &table_cal,
453  vpCameraParameters &cam_est, double &globalReprojectionError, bool verbose)
454 {
455  try {
456  unsigned int nbPose = (unsigned int)table_cal.size();
457  for (unsigned int i = 0; i < nbPose; i++) {
458  if (table_cal[i].get_npt() > 3)
459  table_cal[i].computePose(cam_est, table_cal[i].cMo);
460  }
461  switch (method) {
462  case CALIB_LAGRANGE: {
463  if (nbPose > 1) {
464  std::cout << "this calibration method is not available in" << std::endl
465  << "vpCalibration::computeCalibrationMulti()" << std::endl;
466  return -1;
467  } else {
468  table_cal[0].calibLagrange(cam_est, table_cal[0].cMo);
469  table_cal[0].cam = cam_est;
470  table_cal[0].cam_dist = cam_est;
471  table_cal[0].cMo_dist = table_cal[0].cMo;
472  }
473  break;
474  }
477  if (nbPose > 1) {
478  std::cout << "this calibration method is not available in" << std::endl
479  << "vpCalibration::computeCalibrationMulti()" << std::endl
480  << "with several images." << std::endl;
481  return -1;
482  } else {
483  table_cal[0].calibLagrange(cam_est, table_cal[0].cMo);
484  table_cal[0].cam = cam_est;
485  table_cal[0].cam_dist = cam_est;
486  table_cal[0].cMo_dist = table_cal[0].cMo;
487  }
488  calibVVSMulti(table_cal, cam_est, globalReprojectionError, verbose);
489  break;
490  }
491  case CALIB_VIRTUAL_VS:
492  case CALIB_VIRTUAL_VS_DIST: {
493  calibVVSMulti(table_cal, cam_est, globalReprojectionError, verbose);
494  break;
495  }
496  }
497  // Print camera parameters
498  if (verbose) {
499  // std::cout << "Camera parameters without distortion :" <<
500  // std::endl;
501  cam_est.printParameters();
502  }
503 
504  switch (method) {
505  case CALIB_LAGRANGE:
507  case CALIB_VIRTUAL_VS:
508  verbose = false;
509  break;
511  case CALIB_VIRTUAL_VS_DIST: {
512  if (verbose)
513  std::cout << "Compute camera parameters with distortion" << std::endl;
514 
515  calibVVSWithDistortionMulti(table_cal, cam_est, globalReprojectionError, verbose);
516  } break;
517  }
518  // Print camera parameters
519  if (verbose) {
520  // std::cout << "Camera parameters without distortion :" <<
521  // std::endl;
522  table_cal[0].cam.printParameters();
523  // std::cout << "Camera parameters with distortion:" << std::endl;
524  cam_est.printParameters();
525  std::cout << std::endl;
526  }
527 
528  if (cam_est.get_px() < 0 || cam_est.get_py() < 0 || cam_est.get_u0() < 0 || cam_est.get_v0() < 0) {
529  std::cout << "Unable to calibrate the camera. Estimated parameters are negative." << std::endl;
530  return EXIT_FAILURE;
531  }
532 
533  return EXIT_SUCCESS;
534  } catch (...) {
535  throw;
536  }
537 }
538 
546 int vpCalibration::writeData(const char *filename)
547 {
548  std::ofstream f(filename);
549  vpImagePoint ip;
550 
551  std::list<double>::const_iterator it_LoX = LoX.begin();
552  std::list<double>::const_iterator it_LoY = LoY.begin();
553  std::list<double>::const_iterator it_LoZ = LoZ.begin();
554  std::list<vpImagePoint>::const_iterator it_Lip = Lip.begin();
555 
556  f.precision(10);
557  f.setf(std::ios::fixed, std::ios::floatfield);
558  f << LoX.size() << std::endl;
559 
560  for (unsigned int i = 0; i < LoX.size(); i++) {
561 
562  double oX = *it_LoX;
563  double oY = *it_LoY;
564  double oZ = *it_LoZ;
565 
566  ip = *it_Lip;
567  double u = ip.get_u();
568  double v = ip.get_v();
569 
570  f << oX << " " << oY << " " << oZ << " " << u << " " << v << std::endl;
571 
572  ++it_LoX;
573  ++it_LoY;
574  ++it_LoZ;
575  ++it_Lip;
576  }
577 
578  f.close();
579  return 0;
580 }
581 
588 int vpCalibration::readData(const char *filename)
589 {
590  vpImagePoint ip;
591  std::ifstream f;
592  f.open(filename);
593  if (!f.fail()) {
594  unsigned int n;
595  f >> n;
596  std::cout << "There are " << n << " point on the calibration grid " << std::endl;
597 
598  clearPoint();
599 
600  if (n > 100000)
601  throw(vpException(vpException::badValue, "Bad number of point in the calibration grid"));
602 
603  for (unsigned int i = 0; i < n; i++) {
604  double x, y, z, u, v;
605  f >> x >> y >> z >> u >> v;
606  std::cout << x << " " << y << " " << z << " " << u << " " << v << std::endl;
607  ip.set_u(u);
608  ip.set_v(v);
609  addPoint(x, y, z, ip);
610  }
611 
612  f.close();
613  return 0;
614  } else {
615  return -1;
616  }
617 }
634 int vpCalibration::readGrid(const char *filename, unsigned int &n, std::list<double> &oX, std::list<double> &oY,
635  std::list<double> &oZ, bool verbose)
636 {
637  try {
638  std::ifstream f;
639  f.open(filename);
640  if (!f.fail()) {
641 
642  f >> n;
643  if (verbose)
644  std::cout << "There are " << n << " points on the calibration grid " << std::endl;
645  int no_pt;
646  double x, y, z;
647 
648  // clear the list
649  oX.clear();
650  oY.clear();
651  oZ.clear();
652 
653  if (n > 100000)
654  throw(vpException(vpException::badValue, "Bad number of point in the calibration grid"));
655 
656  for (unsigned int i = 0; i < n; i++) {
657  f >> no_pt >> x >> y >> z;
658  if (verbose) {
659  std::cout << no_pt << std::endl;
660  std::cout << x << " " << y << " " << z << std::endl;
661  }
662  oX.push_back(x);
663  oY.push_back(y);
664  oZ.push_back(z);
665  }
666 
667  f.close();
668  } else {
669  return -1;
670  }
671  } catch (...) {
672  return -1;
673  }
674  return 0;
675 }
676 
687 int vpCalibration::displayData(vpImage<unsigned char> &I, vpColor color, unsigned int thickness, int subsampling_factor)
688 {
689 
690  for (std::list<vpImagePoint>::const_iterator it = Lip.begin(); it != Lip.end(); ++it) {
691  vpImagePoint ip = *it;
692  if (subsampling_factor > 1.) {
693  ip.set_u(ip.get_u() / subsampling_factor);
694  ip.set_v(ip.get_v() / subsampling_factor);
695  }
696  vpDisplay::displayCross(I, ip, 12, color, thickness);
697  }
698  return 0;
699 }
700 
711 int vpCalibration::displayGrid(vpImage<unsigned char> &I, vpColor color, unsigned int thickness, int subsampling_factor)
712 {
713  double u0_dist = cam_dist.get_u0() / subsampling_factor;
714  double v0_dist = cam_dist.get_v0() / subsampling_factor;
715  double px_dist = cam_dist.get_px() / subsampling_factor;
716  double py_dist = cam_dist.get_py() / subsampling_factor;
717  double kud_dist = cam_dist.get_kud();
718  // double kdu_dist = cam_dist.get_kdu() ;
719 
720  // double u0 = cam.get_u0() ;
721  // double v0 = cam.get_v0() ;
722  // double px = cam.get_px() ;
723  // double py = cam.get_py() ;
724 
725  std::list<double>::const_iterator it_LoX = LoX.begin();
726  std::list<double>::const_iterator it_LoY = LoY.begin();
727  std::list<double>::const_iterator it_LoZ = LoZ.begin();
728 
729  for (unsigned int i = 0; i < npt; i++) {
730  double oX = *it_LoX;
731  double oY = *it_LoY;
732  double oZ = *it_LoZ;
733 
734  // double cX = oX*cMo[0][0]+oY*cMo[0][1]+oZ*cMo[0][2] + cMo[0][3];
735  // double cY = oX*cMo[1][0]+oY*cMo[1][1]+oZ*cMo[1][2] + cMo[1][3];
736  // double cZ = oX*cMo[2][0]+oY*cMo[2][1]+oZ*cMo[2][2] + cMo[2][3];
737 
738  // double x = cX/cZ ;
739  // double y = cY/cZ ;
740 
741  // double xp = u0 + x*px ;
742  // double yp = v0 + y*py ;
743 
744  // vpDisplay::displayCross(I,(int)vpMath::round(yp),
745  // (int)vpMath::round(xp),
746  // 5,col) ;
747 
748  double cX = oX * cMo_dist[0][0] + oY * cMo_dist[0][1] + oZ * cMo_dist[0][2] + cMo_dist[0][3];
749  double cY = oX * cMo_dist[1][0] + oY * cMo_dist[1][1] + oZ * cMo_dist[1][2] + cMo_dist[1][3];
750  double cZ = oX * cMo_dist[2][0] + oY * cMo_dist[2][1] + oZ * cMo_dist[2][2] + cMo_dist[2][3];
751 
752  double x = cX / cZ;
753  double y = cY / cZ;
754 
755  double r2 = 1 + kud_dist * (vpMath::sqr(x) + vpMath::sqr(y));
756 
757  vpImagePoint ip;
758  ip.set_u(u0_dist + x * px_dist * r2);
759  ip.set_v(v0_dist + y * py_dist * r2);
760 
761  vpDisplay::displayCross(I, ip, 6, color, thickness);
763 
764  // std::cout << oX << " " << oY << " " <<oZ << std::endl ;
765  // I.getClick() ;
766  ++it_LoX;
767  ++it_LoY;
768  ++it_LoZ;
769  }
770  return 0;
771 }
Used to indicate that a value is not in the allowed range.
Definition: vpException.h:97
bool computePose(vpPoseMethodType method, vpHomogeneousMatrix &cMo, bool(*func)(const vpHomogeneousMatrix &)=NULL)
Definition: vpPose.cpp:374
double get_kdu() const
int computeCalibration(vpCalibrationMethodType method, vpHomogeneousMatrix &cMo_est, vpCameraParameters &cam_est, bool verbose=false)
Implementation of an homogeneous matrix and operations on such kind of matrices.
void set_u(double u)
Definition: vpImagePoint.h:226
int readData(const char *filename)
Class to define colors available for display functionnalities.
Definition: vpColor.h:119
error that can be emited by ViSP classes.
Definition: vpException.h:71
int addPoint(double X, double Y, double Z, vpImagePoint &ip)
static void convertPoint(const vpCameraParameters &cam, const double &u, const double &v, double &x, double &y)
Tools for perspective camera calibration.
Definition: vpCalibration.h:71
virtual ~vpCalibration()
vpHomogeneousMatrix cMo
(as a 3x4 matrix [R T])
Definition: vpCalibration.h:93
Class that defines what is a point.
Definition: vpPoint.h:58
void set_x(double x)
Set the point x coordinate in the image plane.
Definition: vpPoint.cpp:472
void set_y(double y)
Set the point y coordinate in the image plane.
Definition: vpPoint.cpp:474
vpCalibration & operator=(const vpCalibration &twinCalibration)
double get_u() const
Definition: vpImagePoint.h:263
int clearPoint()
Suppress all the point in the array of point.
static double sqr(double x)
Definition: vpMath.h:114
int displayGrid(vpImage< unsigned char > &I, vpColor color=vpColor::yellow, unsigned int thickness=1, int subsampling_factor=1)
vpHomogeneousMatrix cMo_dist
Definition: vpCalibration.h:95
unsigned int get_npt() const
get the number of points
Class used for pose computation from N points (pose from point only). Some of the algorithms implemen...
Definition: vpPose.h:80
Generic class defining intrinsic camera parameters.
vpHomogeneousMatrix eMc_dist
Position of the camera in end-effector frame using camera parameters with distorsion.
vpHomogeneousMatrix rMe
reference coordinates (manipulator base coordinates)
double computeStdDeviation_dist(const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam)
static void displayCross(const vpImage< unsigned char > &I, const vpImagePoint &ip, unsigned int size, const vpColor &color, unsigned int thickness=1)
void set_v(double v)
Definition: vpImagePoint.h:237
vpCameraParameters cam_dist
projection model with distortion
int writeData(const char *filename)
vpHomogeneousMatrix eMc
Position of the camera in end-effector frame using camera parameters without distorsion.
double get_kud() const
Class that defines a 2D point in an image. This class is useful for image processing and stores only ...
Definition: vpImagePoint.h:88
void computeStdDeviation(double &deviation, double &deviation_dist)
double computeResidual(const vpHomogeneousMatrix &cMo) const
Compute and return the sum of squared residuals expressed in meter^2 for the pose matrix cMo...
Definition: vpPose.cpp:336
vpCameraParameters cam
projection model without distortion
Definition: vpCalibration.h:98
static int computeCalibrationMulti(vpCalibrationMethodType method, std::vector< vpCalibration > &table_cal, vpCameraParameters &cam, double &globalReprojectionError, bool verbose=false)
void addPoint(const vpPoint &P)
Definition: vpPose.cpp:149
int displayData(vpImage< unsigned char > &I, vpColor color=vpColor::red, unsigned int thickness=1, int subsampling_factor=1)
double get_v() const
Definition: vpImagePoint.h:274
static int readGrid(const char *filename, unsigned int &n, std::list< double > &oX, std::list< double > &oY, std::list< double > &oZ, bool verbose=false)
void clearPoint()
Definition: vpPose.cpp:134