ViSP  2.10.0
calibrateTsai.cpp

Example of Tsai calibration to estimate extrinsic camera parameters, ie hand-eye homogeneous transformation.

/****************************************************************************
*
* $Id: calibrateTsai.cpp 4574 2014-01-09 08:48:51Z fspindle $
*
* This file is part of the ViSP software.
* Copyright (C) 2005 - 2014 by INRIA. All rights reserved.
*
* This software is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* ("GPL") version 2 as published by the Free Software Foundation.
* See the file LICENSE.txt at the root directory of this source
* distribution for additional information about the GNU GPL.
*
* For using ViSP with software that can not be combined with the GNU
* GPL, please contact INRIA about acquiring a ViSP Professional
* Edition License.
*
* See http://www.irisa.fr/lagadic/visp/visp.html for more information.
*
* This software was developed at:
* INRIA Rennes - Bretagne Atlantique
* Campus Universitaire de Beaulieu
* 35042 Rennes Cedex
* France
* http://www.irisa.fr/lagadic
*
* If you have questions regarding the use of this file, please contact
* INRIA at visp@inria.fr
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* This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
* WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
*
*
* Description:
* Tsai calibration example to estimate hand to eye transformation.
*
* Authors:
* Fabien Spindler
*
*****************************************************************************/
#include <stdio.h>
#include <sstream>
#include <iomanip>
#include <vector>
#include <visp/vpDebug.h>
#include <visp/vpParseArgv.h>
#include <visp/vpIoTools.h>
#include <visp/vpCalibration.h>
#include <visp/vpExponentialMap.h>
int main()
{
try {
// We want to calibrate the hand to eye extrinsic camera parameters from 6 couple of poses: cMo and wMe
const unsigned int N = 6;
// Input: six couple of poses used as input in the calibration proces
std::vector<vpHomogeneousMatrix> cMo(N) ; // eye (camera) to object transformation. The object frame is attached to the calibrartion grid
std::vector<vpHomogeneousMatrix> wMe(N) ; // world to hand (end-effector) transformation
// Output: Result of the calibration
vpHomogeneousMatrix eMc; // hand (end-effector) to eye (camera) transformation
// Initialize an eMc transformation used to produce the simulated input transformations cMo and wMe
vpTranslationVector etc(0.1, 0.2, 0.3);
erc[0] = vpMath::rad(10); // 10 deg
erc[1] = vpMath::rad(-10); // -10 deg
erc[2] = vpMath::rad(25); // 25 deg
eMc.buildFrom(etc, erc);
std::cout << "Simulated hand to eye transformation: eMc " << std::endl ;
std::cout << eMc << std::endl ;
std::cout << "Theta U rotation: " << vpMath::deg(erc[0]) << " " << vpMath::deg(erc[1]) << " " << vpMath::deg(erc[2]) << std::endl;
vpColVector v_c(6) ; // camera velocity used to produce 6 simulated poses
for (unsigned int i=0 ; i < N ; i++)
{
v_c = 0 ;
if (i==0) {
// Initialize first poses
cMo[0].buildFrom(0, 0, 0.5, 0, 0, 0); // z=0.5 m
wMe[0].buildFrom(0, 0, 0, 0, 0, 0); // Id
}
else if (i==1)
v_c[3] = M_PI/8 ;
else if (i==2)
v_c[4] = M_PI/8 ;
else if (i==3)
v_c[5] = M_PI/10 ;
else if (i==4)
v_c[0] = 0.5 ;
else if (i==5)
v_c[1] = 0.8 ;
vpHomogeneousMatrix cMc; // camera displacement
cMc = vpExponentialMap::direct(v_c) ; // Compute the camera displacement due to the velocity applied to the camera
if (i > 0) {
// From the camera displacement cMc, compute the wMe and cMo matrices
cMo[i] = cMc.inverse() * cMo[i-1];
wMe[i] = wMe[i-1] * eMc * cMc * eMc.inverse();
}
}
if (0) {
for (unsigned int i=0 ; i < N ; i++) {
wMo = wMe[i] * eMc * cMo[i];
std::cout << std::endl << "wMo[" << i << "] " << std::endl ;
std::cout << wMo << std::endl ;
std::cout << "cMo[" << i << "] " << std::endl ;
std::cout << cMo[i] << std::endl ;
std::cout << "wMe[" << i << "] " << std::endl ;
std::cout << wMe[i] << std::endl ;
}
}
// Reset the eMc matrix to eye
eMc.eye();
// Compute the eMc hand to eye transformation from six poses
// - cMo[6]: camera to object poses as six homogeneous transformations
// - wMe[6]: world to hand (end-effector) poses as six homogeneous transformations
std::cout << std::endl << "Output: hand to eye calibration result: eMc estimated " << std::endl ;
std::cout << eMc << std::endl ;
eMc.extract(erc);
std::cout << "Theta U rotation: " << vpMath::deg(erc[0]) << " " << vpMath::deg(erc[1]) << " " << vpMath::deg(erc[2]) << std::endl;
return 0 ;
}
catch(vpException e) {
std::cout << "Catch an exception: " << e << std::endl;
return 1 ;
}
}