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/trunk/Chapter 09/CameraCalibrator.cpp
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/*------------------------------------------------------------------------------------------*\
This file contains material supporting chapter 9 of the cookbook:
Computer Vision Programming using the OpenCV Library.
by Robert Laganiere, Packt Publishing, 2011.
Computer Vision Programming using the OpenCV Library.
by Robert Laganiere, Packt Publishing, 2011.
 
This program is free software; permission is hereby granted to use, copy, modify,
and distribute this source code, or portions thereof, for any purpose, without fee,
subject to the restriction that the copyright notice may not be removed
or altered from any source or altered source distribution.
The software is released on an as-is basis and without any warranties of any kind.
In particular, the software is not guaranteed to be fault-tolerant or free from failure.
The author disclaims all warranties with regard to this software, any use,
and any consequent failure, is purely the responsibility of the user.
This program is free software; permission is hereby granted to use, copy, modify,
and distribute this source code, or portions thereof, for any purpose, without fee,
subject to the restriction that the copyright notice may not be removed
or altered from any source or altered source distribution.
The software is released on an as-is basis and without any warranties of any kind.
In particular, the software is not guaranteed to be fault-tolerant or free from failure.
The author disclaims all warranties with regard to this software, any use,
and any consequent failure, is purely the responsibility of the user.
Copyright (C) 2010-2011 Robert Laganiere, www.laganiere.name
\*------------------------------------------------------------------------------------------*/
Copyright (C) 2010-2011 Robert Laganiere, www.laganiere.name
\*------------------------------------------------------------------------------------------*/
 
#include "CameraCalibrator.h"
 
// Open chessboard images and extract corner points
int CameraCalibrator::addChessboardPoints(
const std::vector<std::string>& filelist,
cv::Size & boardSize) {
int
CameraCalibrator::addChessboardPoints(const std::vector<std::string>& filelist,
cv::Size & boardSize)
{
 
// the points on the chessboard
std::vector<cv::Point2f> imageCorners;
std::vector<cv::Point3f> objectCorners;
// the points on the chessboard
std::vector<cv::Point2f> imageCorners;
std::vector<cv::Point3f> objectCorners;
 
// 3D Scene Points:
// Initialize the chessboard corners
// in the chessboard reference frame
// The corners are at 3D location (X,Y,Z)= (i,j,0)
for (int i=0; i<boardSize.height; i++) {
for (int j=0; j<boardSize.width; j++) {
// 3D Scene Points:
// Initialize the chessboard corners
// in the chessboard reference frame
// The corners are at 3D location (X,Y,Z)= (i,j,0)
for (int i = 0; i < boardSize.height; i++)
{
for (int j = 0; j < boardSize.width; j++)
{
 
objectCorners.push_back(cv::Point3f(i, j, 0.0f));
}
objectCorners.push_back(cv::Point3f(i, j, 0.0f));
}
}
 
// 2D Image points:
cv::Mat image; // to contain chessboard image
int successes = 0;
// for all viewpoints
for (int i=0; i<filelist.size(); i++) {
// 2D Image points:
cv::Mat image; // to contain chessboard image
int successes = 0;
// for all viewpoints
for (unsigned int i = 0; i < filelist.size(); i++)
{
 
// Open the image
image = cv::imread(filelist[i],0);
// Open the image
image = cv::imread(filelist[i], 0);
 
// Get the chessboard corners
bool found = cv::findChessboardCorners(
image, boardSize, imageCorners);
// Get the chessboard corners
bool found = cv::findChessboardCorners(image, boardSize, imageCorners);
 
// Get subpixel accuracy on the corners
cv::cornerSubPix(image, imageCorners,
cv::Size(5,5),
cv::Size(-1,-1),
cv::TermCriteria(cv::TermCriteria::MAX_ITER +
cv::TermCriteria::EPS,
30, // max number of iterations
0.1)); // min accuracy
// Get subpixel accuracy on the corners
cv::cornerSubPix(image, imageCorners, cv::Size(5, 5), cv::Size(-1, -1),
cv::TermCriteria(cv::TermCriteria::MAX_ITER + cv::TermCriteria::EPS,
30, // max number of iterations
0.1)); // min accuracy
 
// If we have a good board, add it to our data
if (imageCorners.size() == boardSize.area()) {
// If we have a good board, add it to our data
if (imageCorners.size() == (unsigned int) boardSize.area())
{
 
// Add image and scene points from one view
addPoints(imageCorners, objectCorners);
successes++;
}
// Add image and scene points from one view
addPoints(imageCorners, objectCorners);
successes++;
}
 
//Draw the corners
cv::drawChessboardCorners(image, boardSize, imageCorners, found);
cv::imshow("Corners on Chessboard", image);
cv::waitKey(100);
//Draw the corners
cv::drawChessboardCorners(image, boardSize, imageCorners, found);
cv::imshow("Corners on Chessboard", image);
cv::waitKey(100);
}
 
return successes;
return successes;
}
 
// Add scene points and corresponding image points
void CameraCalibrator::addPoints(const std::vector<cv::Point2f>& imageCorners, const std::vector<cv::Point3f>& objectCorners) {
void
CameraCalibrator::addPoints(const std::vector<cv::Point2f>& imageCorners,
const std::vector<cv::Point3f>& objectCorners)
{
 
// 2D image points from one view
imagePoints.push_back(imageCorners);
// corresponding 3D scene points
objectPoints.push_back(objectCorners);
// 2D image points from one view
imagePoints.push_back(imageCorners);
// corresponding 3D scene points
objectPoints.push_back(objectCorners);
}
 
// Calibrate the camera
// returns the re-projection error
double CameraCalibrator::calibrate(cv::Size &imageSize)
double
CameraCalibrator::calibrate(cv::Size imageSize)
{
// undistorter must be reinitialized
mustInitUndistort= true;
// undistorter must be reinitialized
mustInitUndistort = true;
 
//Output rotations and translations
std::vector<cv::Mat> rvecs, tvecs;
//Output rotations and translations
std::vector<cv::Mat> rvecs, tvecs;
 
// start calibration
return
calibrateCamera(objectPoints, // the 3D points
imagePoints, // the image points
imageSize, // image size
cameraMatrix, // output camera matrix
distCoeffs, // output distortion matrix
rvecs, tvecs, // Rs, Ts
flag); // set options
// start calibration
return calibrateCamera(objectPoints, // the 3D points
imagePoints, // the image points
imageSize, // image size
cameraMatrix, // output camera matrix
distCoeffs, // output distortion matrix
rvecs, tvecs, // Rs, Ts
flag); // set options
// ,CV_CALIB_USE_INTRINSIC_GUESS);
 
}
 
// remove distortion in an image (after calibration)
cv::Mat CameraCalibrator::remap(const cv::Mat &image) {
cv::Mat
CameraCalibrator::remap(const cv::Mat &image)
{
 
cv::Mat undistorted;
cv::Mat undistorted;
 
if (mustInitUndistort) { // called once per calibration
cv::initUndistortRectifyMap(
cameraMatrix, // computed camera matrix
distCoeffs, // computed distortion matrix
cv::Mat(), // optional rectification (none)
cv::Mat(), // camera matrix to generate undistorted
cv::Size(640,480),
if (mustInitUndistort)
{ // called once per calibration
 
cv::initUndistortRectifyMap(cameraMatrix, // computed camera matrix
distCoeffs, // computed distortion matrix
cv::Mat(), // optional rectification (none)
cv::Mat(), // camera matrix to generate undistorted
cv::Size(640, 480),
// image.size(), // size of undistorted
CV_32FC1, // type of output map
map1, map2); // the x and y mapping functions
CV_32FC1,// type of output map
map1, map2); // the x and y mapping functions
 
mustInitUndistort= false;
}
mustInitUndistort = false;
}
 
// Apply mapping functions
cv::remap(image, undistorted, map1, map2,
cv::INTER_LINEAR); // interpolation type
// Apply mapping functions
cv::remap(image, undistorted, map1, map2, cv::INTER_LINEAR); // interpolation type
 
return undistorted;
return undistorted;
}
 
 
// Set the calibration options
// 8radialCoeffEnabled should be true if 8 radial coefficients are required (5 is default)
// tangentialParamEnabled should be true if tangeantial distortion is present
void CameraCalibrator::setCalibrationFlag(bool radial8CoeffEnabled, bool tangentialParamEnabled) {
void
CameraCalibrator::setCalibrationFlag(bool radial8CoeffEnabled,
bool tangentialParamEnabled)
{
 
// Set the flag used in cv::calibrateCamera()
flag = 0;
if (!tangentialParamEnabled) flag += CV_CALIB_ZERO_TANGENT_DIST;
if (radial8CoeffEnabled) flag += CV_CALIB_RATIONAL_MODEL;
// Set the flag used in cv::calibrateCamera()
flag = 0;
if (!tangentialParamEnabled)
flag += CV_CALIB_ZERO_TANGENT_DIST;
if (radial8CoeffEnabled)
flag += CV_CALIB_RATIONAL_MODEL;
}