int main(int argc, char** argv) {
video_resource cam(0);
calibrationParameters par = calibrateCamera(10, 7, 5 , cam);
par.saveToFile("calibration.xml");
return 0;
}
double CustomPattern::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
Size imageSize, InputOutputArray cameraMatrix, InputOutputArray distCoeffs,
OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags,
TermCriteria criteria)
{
return calibrateCamera(objectPoints, imagePoints, imageSize, cameraMatrix, distCoeffs,
rvecs, tvecs, flags, criteria);
}
void stereoCalibThread::monoCalibration(const vector<string>& imageList, int boardWidth, int boardHeight, Mat &K, Mat &Dist)
{
vector<vector<Point2f> > imagePoints;
Size boardSize, imageSize;
boardSize.width=boardWidth;
boardSize.height=boardHeight;
int flags=0;
int i;
float squareSize = 1.f, aspectRatio = 1.f;
Mat view, viewGray;
for(i = 0; i<(int)imageList.size();i++)
{
view = cv::imread(imageList[i], 1);
imageSize = view.size();
vector<Point2f> pointbuf;
cvtColor(view, viewGray, CV_BGR2GRAY);
bool found = false;
if(boardType == "CIRCLES_GRID") {
found = findCirclesGridDefault(view, boardSize, pointbuf, CALIB_CB_SYMMETRIC_GRID | CALIB_CB_CLUSTERING);
} else if(boardType == "ASYMMETRIC_CIRCLES_GRID") {
found = findCirclesGridDefault(view, boardSize, pointbuf, CALIB_CB_ASYMMETRIC_GRID | CALIB_CB_CLUSTERING);
} else {
found = findChessboardCorners( view, boardSize, pointbuf,
CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_FAST_CHECK | CV_CALIB_CB_NORMALIZE_IMAGE);
}
if(found)
{
drawChessboardCorners( view, boardSize, Mat(pointbuf), found );
imagePoints.push_back(pointbuf);
}
}
std::vector<Mat> rvecs, tvecs;
std::vector<float> reprojErrs;
double totalAvgErr = 0;
K = Mat::eye(3, 3, CV_64F);
if( flags & CV_CALIB_FIX_ASPECT_RATIO )
K.at<double>(0,0) = aspectRatio;
Dist = Mat::zeros(4, 1, CV_64F);
std::vector<std::vector<Point3f> > objectPoints(1);
calcChessboardCorners(boardSize, squareSize, objectPoints[0]);
objectPoints.resize(imagePoints.size(),objectPoints[0]);
double rms = calibrateCamera(objectPoints, imagePoints, imageSize, K,
Dist, rvecs, tvecs,CV_CALIB_FIX_K3);
printf("RMS error reported by calibrateCamera: %g\n", rms);
cout.flush();
}
void ofxMapaMok::update(){
if( setupMode == SETUP_SELECT ) {
cam.enableMouseInput();
} else {
// Generate camera matrix given aov guess
//
cv::Size2i imageSize(width, height);
float f = imageSize.width * ofDegToRad(aov); // i think this is wrong, but it's optimized out anyway
cv::Point2f c = cv::Point2f(imageSize) * (1. / 2);
cv::Mat1d cameraMatrix = (cv::Mat1d(3, 3) <<
f, 0, c.x,
0, f, c.y,
0, 0, 1);
// Generate flags
//
int flags =
CV_CALIB_USE_INTRINSIC_GUESS |
//CV_CALIB_FIX_PRINCIPAL_POINT |
CV_CALIB_FIX_ASPECT_RATIO |
CV_CALIB_FIX_K1 |
CV_CALIB_FIX_K2 |
CV_CALIB_FIX_K3 |
CV_CALIB_ZERO_TANGENT_DIST;
vector<cv::Mat> rvecs, tvecs;
cv::Mat distCoeffs;
vector<vector<cv::Point3f> > referenceObjectPoints(1);
vector<vector<cv::Point2f> > referenceImagePoints(1);
int n = referencePoints.size();
for(int i = 0; i < n; i++) {
if(referencePoints[i]) {
referenceObjectPoints[0].push_back(objectPoints[i]);
referenceImagePoints[0].push_back(imagePoints[i]);
}
}
const static int minPoints = 6;
if(referenceObjectPoints[0].size() >= minPoints) {
calibrateCamera(referenceObjectPoints, referenceImagePoints, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, flags);
rvec = rvecs[0];
tvec = tvecs[0];
intrinsics.setup(cameraMatrix, imageSize);
modelMatrix = ofxCv::makeMatrix(rvec, tvec);
calibrationReady = true;
} else {
calibrationReady = false;
}
cam.disableMouseInput();
}
}
double CameraCalibrator::calibrate(cv::Size &imageSize)
{
std::vector<cv::Mat> rvecs, tvecs;
return
calibrateCamera(objectPoints,
imagePoints,
imageSize,
cameraMatrix,
distCoeffs,
rvecs, tvecs,
flag);
}
// Calibrate the camera
// returns the re-projection error
double CameraCalibrator::calibrate(cv::Size &imageSize)
{
// undistorter must be reinitialized
mustInitUndistort= true;
// 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);
}
// 进行标定，返回重投影误差
double CameraCalibrator::calibrate(cv::Size &imageSize)
{
// 必须重新进行去畸变
mustInitUndistort = true;
//输出旋转和平移
std::vector<cv::Mat> rvecs, tvecs;
// 开始标定
return
calibrateCamera(objectPoints, // 3D点
imagePoints, // 图像点
imageSize, // 图像尺寸
cameraMatrix, // 图像尺寸
distCoeffs, // 输出的相机矩阵
rvecs, tvecs, // 旋转和平移
flag); // 额外选项
// ,CV_CALIB_USE_INTRINSIC_GUESS);
}
bool Calibration::calibrate() {
Mat cameraMatrix = Mat::eye(3, 3, CV_64F);
distCoeffs = Mat::zeros(8, 1, CV_64F);
updateObjectPoints();
int calibFlags = 0;
float rms = calibrateCamera(objectPoints, imagePoints, addedImageSize, cameraMatrix, distCoeffs, boardRotations, boardTranslations, calibFlags);
ofLog(OF_LOG_VERBOSE, "calibrateCamera() reports RMS error of " + ofToString(rms));
bool _isReady = checkRange(cameraMatrix) && checkRange(distCoeffs);
if(!_isReady) {
ofLog(OF_LOG_ERROR, "Calibration::calibrate() failed to calibrate the camera");
}
distortedIntrinsics.setup(cameraMatrix, addedImageSize);
updateReprojectionError();
updateUndistortion();
return _isReady;
}
int main()
{
printf("beginning camera calibration pgm\n");
create_connect();
enable_servos();
camera_open(LOW_RES);
printf("1.0 after initialization\n");
//place create for camera recognition of cube positions
forward(9);
rightAngle(LEFT);
forward(15);
rightAngle(RIGHT);
calibrateCamera();
printf("the end...\n");
camera_close();
create_disconnect();
return 0;
}
void QCvCameraCalibration::calibrate()
{
this->setEnable(false);
QString msg;
if (imagePoints.size() >= s.minNumSamples)
{
// compute board geometry
vector<vector<cv::Point3f> > objectPoints(1);
calcBoardCornerPositions(s.boardSize, s.squareSize, objectPoints[0]);
objectPoints.resize(imagePoints.size(),objectPoints[0]);
rmsError = calibrateCamera(objectPoints, imagePoints, imgSize, cameraMatrix,
distCoeffs, rvecs, tvecs, CV_CALIB_FIX_K4|CV_CALIB_FIX_K5);
msg = "updated object points successfully, RMS = "+QString::number(rmsError);
s.bCALIBRATED=true;
saveCameraParams();
}
else
{
msg = "Insufficient number of samples taken!";
}
emit statusUpdate(msg);
this->setEnable(true);
}
void CameraCalibration::StereoCalibration()
{
vector<vector<Point2f> > ImagePoints[2];
vector<vector<Point3f> > ObjectPoints(1);
for(int i=0; i<BoardSize.height; i++)
for(int j=0; j<BoardSize.width; j++)
ObjectPoints.at(0).push_back(Point3f(float( j*SquareSize ),
float( i*SquareSize ),
0));
ObjectPoints.resize(NumFrames, ObjectPoints[0]);
vector<Mat> RVecs[2], TVecs[2];
double rms;
for(int c_idx=0; c_idx<2; c_idx++)
{
for(int i=0; i < NumFrames; i++)
{
Mat img = imread(data_path+"/"+calib_params[c_idx].ImageList.at(i), CV_LOAD_IMAGE_COLOR);
vector<Point2f> pointBuf;
bool found = false;
found = findChessboardCorners(img, BoardSize, pointBuf,
CV_CALIB_CB_ADAPTIVE_THRESH |
CV_CALIB_CB_NORMALIZE_IMAGE);
if(found)
{
Mat viewGray;
cvtColor(img, viewGray, CV_BGR2GRAY);
cornerSubPix(viewGray, pointBuf, Size(11, 11), Size(-1, -1),
TermCriteria(CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 100, 0.01));
//drawChessboardCorners(img, BoardSize, Mat(pointBuf), found);
//namedWindow("Image View", CV_WINDOW_AUTOSIZE);
//imshow("Image View", img);
//waitKey();
}
else
{
cerr << i << "th image cannot be found a pattern." << endl;
exit(EXIT_FAILURE);
}
ImagePoints[c_idx].push_back(pointBuf);
}
calib_params[c_idx].DistCoeffs = Mat::zeros(8, 1, CV_64F);
calib_params[c_idx].CameraMatrix = initCameraMatrix2D(ObjectPoints, ImagePoints[c_idx], ImageSize, 0);
rms = calibrateCamera(ObjectPoints,
ImagePoints[c_idx],
ImageSize,
calib_params[c_idx].CameraMatrix,
calib_params[c_idx].DistCoeffs,
RVecs[c_idx],
TVecs[c_idx],
CV_CALIB_USE_INTRINSIC_GUESS |
CV_CALIB_FIX_K3 |
CV_CALIB_FIX_K4 |
CV_CALIB_FIX_K5 |
CV_CALIB_FIX_K6);
cout << c_idx << " camera re-projection error reported by calibrateCamera: "<< rms << endl;
}
rms = stereoCalibrate(ObjectPoints,
ImagePoints[0],
ImagePoints[1],
calib_params[0].CameraMatrix,
calib_params[0].DistCoeffs,
calib_params[1].CameraMatrix,
calib_params[1].DistCoeffs,
ImageSize,
stereo_params->R,
stereo_params->T,
stereo_params->E,
stereo_params->F,
TermCriteria(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS, 100, 1e-5));
cout << "Stereo re-projection error reported by stereoCalibrate: " << rms << endl;
cout << "Fundamental Matrix reprojection error: " << FundamentalMatrixQuality(ImagePoints[0], ImagePoints[1],
calib_params[0].CameraMatrix, calib_params[1].CameraMatrix,
calib_params[0].DistCoeffs, calib_params[1].DistCoeffs, stereo_params->F) << endl;
// Transfer matrix from OpenCV Mat to Pangolin matrix
CvtCameraExtrins(RVecs, TVecs);
Timer PangolinTimer;
// Stereo rectification
stereoRectify(calib_params[0].CameraMatrix,
calib_params[0].DistCoeffs,
calib_params[1].CameraMatrix,
calib_params[1].DistCoeffs,
ImageSize,
stereo_params->R,
stereo_params->T,
rect_params->LeftRot,
rect_params->RightRot,
rect_params->LeftProj,
rect_params->RightProj,
rect_params->Disp2DepthReProjMat,
CALIB_ZERO_DISPARITY, // test later
1, // test later
ImageSize,
&rect_params->LeftRoi,
&rect_params->RightRoi);
cout << "\nStereo rectification using calibration spent: " << PangolinTimer.getElapsedTimeInMilliSec() << "ms." << endl;
rect_params->isVerticalStereo = fabs(rect_params->RightProj.at<double>(1, 3)) >
fabs(rect_params->RightProj.at<double>(0, 3));
// Get the rectification re-map index
initUndistortRectifyMap(calib_params[0].CameraMatrix, calib_params[0].DistCoeffs,
rect_params->LeftRot, rect_params->LeftProj,
ImageSize, CV_16SC2, rect_params->LeftRMAP[0], rect_params->LeftRMAP[1]);
initUndistortRectifyMap(calib_params[1].CameraMatrix, calib_params[1].DistCoeffs,
rect_params->RightRot, rect_params->RightProj,
ImageSize, CV_16SC2, rect_params->RightRMAP[0], rect_params->RightRMAP[1]);
}
void CameraCalibration::MonoCalibration()
{
vector<vector<Point2f> > ImagePoints;
for(int i=0; i < NumFrames; i++)
{
Mat img = imread(calib_params[0].ImageList.at(i), CV_LOAD_IMAGE_COLOR);
vector<Point2f> pointBuf;
bool found = false;
found = findChessboardCorners(img, BoardSize, pointBuf,
CV_CALIB_CB_ADAPTIVE_THRESH |
CV_CALIB_CB_NORMALIZE_IMAGE);
if(found)
{
Mat viewGray;
cvtColor(img, viewGray, CV_BGR2GRAY);
cornerSubPix(viewGray, pointBuf, Size(11, 11), Size(-1, -1),
TermCriteria(CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 100, 0.01));
// drawChessboardCorners(img_left, calib_params.BoardSize, Mat(left_pointBuf), found_left);
// imshow("Left Image View", img_left);
// drawChessboardCorners(img_right, calib_params.BoardSize, Mat(right_pointBuf), found_right);
// imshow("Right Image View", img_right);
// waitKey();
}
else
{
cerr << i << "th image cannot be found a pattern." << endl;
exit(EXIT_FAILURE);
}
ImagePoints.push_back(pointBuf);
}
vector<vector<Point3f> > ObjectPoints(1);
for(int i=0; i<BoardSize.height; i++)
for(int j=0; j<BoardSize.width; j++)
ObjectPoints.at(0).push_back(Point3f(float( j*SquareSize ),
float( i*SquareSize ),
0));
ObjectPoints.resize(ImagePoints.size(), ObjectPoints[0]);
vector<Mat> RVecs, TVecs;
calib_params->DistCoeffs = Mat::zeros(8, 1, CV_64F);
calib_params->CameraMatrix = initCameraMatrix2D(ObjectPoints, ImagePoints, ImageSize, 0);
double rms = calibrateCamera(ObjectPoints,
ImagePoints,
ImageSize,
calib_params->CameraMatrix,
calib_params->DistCoeffs,
RVecs,
TVecs,
CV_CALIB_USE_INTRINSIC_GUESS |
CV_CALIB_FIX_K3 |
CV_CALIB_FIX_K4 |
CV_CALIB_FIX_K5 |
CV_CALIB_FIX_K6);
cout << "Camera re-projection error reported by calibrateCamera: "<< rms << endl;
// Transfer matrix from OpenCV Mat to Pangolin matrix
CvtCameraExtrins(&RVecs, &TVecs);
}
int main( int argc, char** argv ){
CvCapture* capture = NULL;
IplImage* src = NULL;
IplImage* src2 = NULL;
IplImage* gray = NULL;
IplImage* output = NULL;
CvMat* cornerPoints;
CvMat* objectPoints;
CvMat pointsNumMat;
CvPoint2D32f* points;
int pointsNum[1];
ChessBoard chess;
int pointsPerScene;
int detectedPointsNum;
int allPointsFound;
int i, j;
char key;
int camID;
char* windowName = "extrinsic calibration";
capture = cvCreateCameraCapture(0);
if(!capture) {
fprintf(stderr, "ERROR: capture is NULL \n");
return(-1);
}
chess.dx = CHESS_ROW_DX;
chess.dy = CHESS_COL_DY;
chess.patternSize.width = CHESS_ROW_NUM;
chess.patternSize.height = CHESS_COL_NUM;
pointsPerScene
= chess.patternSize.width * chess.patternSize.height;
cornerPoints = cvCreateMat(pointsPerScene, 2, CV_32F);
objectPoints = cvCreateMat(pointsPerScene, 3, CV_32F);
pointsNum[0] = pointsPerScene;
pointsNumMat = cvMat(1, 1, CV_32S, pointsNum);
points
= (CvPoint2D32f*)malloc( sizeof(CvPoint2D32f) * pointsPerScene ) ;
src = cvQueryFrame(capture);
if(src == NULL){
fprintf(stderr, "Could not grab and retrieve frame...\n");
return(-1);
}
src2 = cvCreateImage(cvSize(src->width, src->height), src->depth, 3);
output = cvCreateImage(cvSize(src->width, src->height), src->depth, 3);
cvCopy( src, src2, NULL );
gray = cvCreateImage(cvSize(src2->width, src2->height), src2->depth, 1);
cvNamedWindow( windowName, CV_WINDOW_AUTOSIZE );
while( 1 ){
src = cvQueryFrame(capture);
if( !src ) {
break;
}
cvCopy( src, src2, NULL );
cvCopy( src2, output, NULL );
cvCvtColor(src2, gray, CV_BGR2GRAY);
if( cvFindChessboardCorners( gray, chess.patternSize, points,
&detectedPointsNum, CV_CALIB_CB_ADAPTIVE_THRESH ) ){
cvFindCornerSubPix(gray, points, detectedPointsNum,
cvSize(5, 5), cvSize(-1, -1),
cvTermCriteria(CV_TERMCRIT_ITER, 100, 0.1));
allPointsFound = 1;
} else {
allPointsFound = 0;
}
cvDrawChessboardCorners( src2, chess.patternSize, points,
detectedPointsNum, allPointsFound );
cvShowImage(windowName, src2);
key = cvWaitKey( 20 );
if(key == RETURN && allPointsFound ){
store2DCoordinates( cornerPoints, points, chess, 0 );
store3DCoordinates( objectPoints, chess, 0 );
calibrateCamera("intrinsic_param_ref.txt",
"extrinsic_param.txt",
cornerPoints, objectPoints );
cvSaveImage( "board.jpg", output, 0 );
break;
} else if(key == ESCAPE) {
break;
}
}
cvDestroyWindow( windowName );
cvReleaseCapture(&capture);
free(points);
cvReleaseMat(&cornerPoints);
cvReleaseMat(&objectPoints);
cvReleaseImage(&gray);
cvReleaseImage(&src2);
return(0);
}
Calib::Calib()
{
Size boardSize(6,5); // Chessboard' size in corners with both color (nb of squares -1)
int widthSquare = 40; // Width of a square in mm
int heightSquare = 27;
vector <Mat> images;
// Getting the four images of the chessboard
string imageFileName = "../src/mire1.jpg";
images.push_back(imread(imageFileName, 1));
imageFileName = "../src/mire2.jpg";
images.push_back(imread(imageFileName, 1));
imageFileName = "../src/mire3.jpg";
images.push_back(imread(imageFileName, 1));
imageFileName = "../src/mire4.jpg";
images.push_back(imread(imageFileName, 1));
Size imageSize = images.at(0).size();
// Find chessboard's corners in the scene for the 4 images
vector<vector<Point2f> > cornersScene(1);
vector<Mat> imagesGray;
imagesGray.resize(4);
for (int i=0; i<4; i++)
{
if(images.at(i).empty())
{
cerr << "Image not read correctly!" << endl;
exit(-1);
}
bool patternFound = findChessboardCorners(images.at(i), boardSize, cornersScene[0]);
if(!patternFound)
{
cerr << "Could not find chess board!" << endl;
exit(-1);
}
// Improve corner's coordinate accuracy
cvtColor(images.at(i), imagesGray.at(i), CV_RGB2GRAY);
cornerSubPix(imagesGray.at(i), cornersScene[0], Size(3,2), Size(-1,-1), TermCriteria(CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 30, 0.1));
// Drawing the corners
drawChessboardCorners(images.at(i), boardSize, Mat(cornersScene[0]), patternFound );
imshow("Corners find", images.at(i));
int keyPressed;
/*do
{
keyPressed = waitKey(0);
} while (keyPressed != 27);*/
}
// Getting the chessboard's corners on the mire's image
vector<vector<Point3f> > cornersMire(1);
for( int y = 0; y < boardSize.height; y++ )
{
for( int x = 0; x < boardSize.width; x++ )
{
cornersMire[0].push_back(cv::Point3f(float(x*widthSquare),
float(y*heightSquare), 0));
}
}
// Getting the camera's parameters
Mat distortionCoefficients = Mat::zeros(8, 1, CV_64F);
Mat cameraMatrix = Mat::eye(3, 3, CV_64F);
calibrateCamera(cornersMire, cornersScene, imageSize, cameraMatrix,
distortionCoefficients, rotationVectors, translationVectors);
//cout << "Camera matrix: " << cameraMatrix << endl;
//cout << "Distortion _coefficients: " << distortionCoefficients << endl;
cout << rotationVectors.at(0) << endl;
cout << translationVectors.at(0) << endl;
}
bool CSingleCalib::ExSingleCalib()
{
string *strImageName1 = m_strImageName;
string *strImageName2 = m_strImageName;
string *strImageName3 = m_strImageName;
bool bRet = false;
do{
cout << "ExSingleCalib !" << endl;
/****************************************************************
* test
****************************************************************/
// vector<Point2f> imageCorners;
// Size boardSize(ChessBoardSize_w, ChessBoardSize_h);
// Mat img = imread(*m_strImageName);
// if (!img.data)
// {
// cout << "no img" << endl;
// break;
// }
// bool found = findChessboardCorners(img, boardSize, imageCorners);
// drawChessboardCorners(img, boardSize, imageCorners, found);
// namedWindow("test");
// imshow("test", img);
// waitKey();
/* vector<Point3f> imgPoint;
for (int rowIndex = 0; rowIndex < ChessBoardSize_h; ++rowIndex)
{
for (int colIndex = 0; colIndex < ChessBoardSize_w; ++colIndex)
{
imgPoint.push_back(Point3f(rowIndex * SquareWidth, colIndex * SquareWidth, 0));
}
}
for (int imgIndex = 0; imgIndex < NImage; ++imgIndex)
{
objRealPoints.push_back(imgPoint);
}
*/
//从棋盘格添加角点
if (!addChessBoardPoints(strImageName2))
{
cout << "add chessBoard Points failed! " << endl;
}
//标定相机
// setCalibrationFlag(true, true);
// calibrate(Size(CAMERA_WIDTH, CAMERA_HEIGHT));
calibrateCamera(objectPoints, imagePoints, Size(CAMERA_WIDTH, CAMERA_HEIGHT),
cameraMatrix, distCoeffs, rvecs, tvecs, flag);
//////////////////////////////////////////////////////////
////// 这里可以矫正图片
/////////////////////////////////////////////////////////
// Mat image = cv::imread(*(strImageName3 + 8));
// cv::Mat uImage = remap(image);
// imshow("Orginal Image", image);
// imshow("Undistored Image", uImage);
bRet = true;
} while (false);
return bRet;
}
bool Camera::runCalibration( vector<vector<Point2f> > imagePoints,
Size imageSize, Size boardSize,
float squareSize, float aspectRatio,
int flags, Mat& cameraMatrix, Mat& distCoeffs,
vector<Mat>& rvecs, vector<Mat>& tvecs,
vector<float>& reprojErrs,
double& totalAvgErr)
{
cameraMatrix = Mat::eye(3, 3, CV_64F);
if( flags & CV_CALIB_FIX_ASPECT_RATIO )
cameraMatrix.at<double>(0,0) = aspectRatio;
distCoeffs = Mat::zeros(4, 1, CV_64F);
vector<vector<Point3f> > objectPoints(1);
calcChessboardCorners(boardSize, squareSize, objectPoints[0]);
objectPoints.resize(imagePoints.size(),objectPoints[0]);
double rms = calibrateCamera(objectPoints, imagePoints, imageSize, cameraMatrix,
distCoeffs, rvecs, tvecs,CV_CALIB_FIX_K3);
printf("RMS error reported by calibrateCamera: %g\n", rms);
bool ok = checkRange(cameraMatrix) && checkRange(distCoeffs);
totalAvgErr = computeReprojectionErrors(objectPoints, imagePoints,
rvecs, tvecs, cameraMatrix, distCoeffs, reprojErrs);
return ok;
}
